Research article

Clustered-map probabilistic cellular automata for fire propagation in the Brazilian Cerrado with heterogeneous vegetation and wind interference

  • Wildfires pose a significant threat to both biodiversity and human communities, and understanding their behavior and the rate at which they burn through different vegetation types is crucial for effective management and conservation. In this research, we present a comprehensive analysis of wildfire behavior and vegetation burning rates in the unique ecosystem of Sete Cidades National Park. To achieve this, we adopt a qualiquantitative approach that combines both qualitative and quantitative methodologies, considering the multifaceted variables at play, including wind conditions, various vegetation types, and the dynamics of fire progression. We conducted an extensive dataset comprising 100 simulations for each of three distinct scenarios, ensuring robustness in our data for statistical analysis. By incorporating qualitative data obtained through field observations and expert opinions, we gain a deeper understanding of the contextual nuances specific to Sete Cidades National Park. This approach enriches the interpretation of our quantitative results, providing valuable context and real-world relevance. Our materials include a cellular automaton lattice with 200×200 cells, representing the diverse landscape of the study area. We used MATLAB to visualize this landscape, generating distinct representations of the scenarios. Our findings reveal the distribution of different vegetation types across these scenarios, emphasizing the resilience of Rupestrian Cerrado, the diversity of Typical Cerrado, and the importance of Riparian Forest in preserving aquatic ecosystems. This research contributes to the broader understanding of wildfire management, considering the interdisciplinary aspects of environmental science, forestry, and meteorology. By integrating knowledge from diverse fields, we provide a holistic analysis that can inform effective conservation strategies and wildfire management practices.

    Citation: Heitor Castro Brasiel, Danielli Araújo Lima. Clustered-map probabilistic cellular automata for fire propagation in the Brazilian Cerrado with heterogeneous vegetation and wind interference[J]. Urban Resilience and Sustainability, 2024, 2(1): 45-75. doi: 10.3934/urs.2024004

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  • Wildfires pose a significant threat to both biodiversity and human communities, and understanding their behavior and the rate at which they burn through different vegetation types is crucial for effective management and conservation. In this research, we present a comprehensive analysis of wildfire behavior and vegetation burning rates in the unique ecosystem of Sete Cidades National Park. To achieve this, we adopt a qualiquantitative approach that combines both qualitative and quantitative methodologies, considering the multifaceted variables at play, including wind conditions, various vegetation types, and the dynamics of fire progression. We conducted an extensive dataset comprising 100 simulations for each of three distinct scenarios, ensuring robustness in our data for statistical analysis. By incorporating qualitative data obtained through field observations and expert opinions, we gain a deeper understanding of the contextual nuances specific to Sete Cidades National Park. This approach enriches the interpretation of our quantitative results, providing valuable context and real-world relevance. Our materials include a cellular automaton lattice with 200×200 cells, representing the diverse landscape of the study area. We used MATLAB to visualize this landscape, generating distinct representations of the scenarios. Our findings reveal the distribution of different vegetation types across these scenarios, emphasizing the resilience of Rupestrian Cerrado, the diversity of Typical Cerrado, and the importance of Riparian Forest in preserving aquatic ecosystems. This research contributes to the broader understanding of wildfire management, considering the interdisciplinary aspects of environmental science, forestry, and meteorology. By integrating knowledge from diverse fields, we provide a holistic analysis that can inform effective conservation strategies and wildfire management practices.



    Henkin and Skolem introduced Hilbert algebras in the fifties for investigations in intuitionistic and other non-classical logics. Diego [4] proved that Hilbert algebras form a variety which is locally finite. Bandaru et al. introduced the notion of GE-algebras which is a generalization of Hilbert algebras, and investigated several properties (see [1,2,7,8,9]). The notion of interior operator is introduced by Vorster [12] in an arbitrary category, and it is used in [3] to study the notions of connectedness and disconnectedness in topology. Interior algebras are a certain type of algebraic structure that encodes the idea of the topological interior of a set, and are a generalization of topological spaces defined by means of topological interior operators. Rachůnek and Svoboda [6] studied interior operators on bounded residuated lattices, and Svrcek [11] studied multiplicative interior operators on GMV-algebras. Lee et al. [5] applied the interior operator theory to GE-algebras, and they introduced the concepts of (commutative, transitive, left exchangeable, belligerent, antisymmetric) interior GE-algebras and bordered interior GE-algebras, and investigated their relations and properties. Later, Song et al. [10] introduced the notions of an interior GE-filter, a weak interior GE-filter and a belligerent interior GE-filter, and investigate their relations and properties. They provided relations between a belligerent interior GE-filter and an interior GE-filter and conditions for an interior GE-filter to be a belligerent interior GE-filter is considered. Given a subset and an element, they established an interior GE-filter, and they considered conditions for a subset to be a belligerent interior GE-filter. They studied the extensibility of the belligerent interior GE-filter and established relationships between weak interior GE-filter and belligerent interior GE-filter of type 1, type 2 and type 3. Rezaei et al. [7] studied prominent GE-filters in GE-algebras. The purpose of this paper is to study by applying interior operator theory to prominent GE-filters in GE-algebras. We introduce the concept of a prominent interior GE-filter, and investigate their properties. We discuss the relationship between a prominent GE-filter and a prominent interior GE-filter and the relationship between an interior GE-filter and a prominent interior GE-filter. We find and provide examples where any interior GE-filter is not a prominent interior GE-filter and any prominent GE-filter is not a prominent interior GE-filter. We provide conditions for an interior GE-filter to be a prominent interior GE-filter. We provide conditions under which an internal GE-filter larger than a given internal GE filter can become a prominent internal GE-filter, and give an example describing it. We also introduce the concept of a prominent interior GE-filter of type 1 and type 2, and investigate their properties. We discuss the relationship between a prominent interior GE-filter and a prominent interior GE-filter of type 1. We give examples to show that A and B are independent of each other, where A and B are:

    (1) { A: prominent interior GE-filter of type 1. B: prominent interior GE-filter of type 2.

    (2) { A: prominent interior GE-filter. B: prominent interior GE-filter of type 2.

    (3) { A: interior GE-filter. B: prominent interior GE-filter of type 1.

    (4) { A: interior GE-filter. B: prominent interior GE-filter of type 2.

    Definition 2.1. [1] By a GE-algebra we mean a non-empty set X with a constant 1 and a binary operation satisfying the following axioms:

    (GE1) uu=1,

    (GE2) 1u=u,

    (GE3) u(vw)=u(v(uw))

    for all u,v,wX.

    In a GE-algebra X, a binary relation "" is defined by

    (x,yX)(xyxy=1). (2.1)

    Definition 2.2. [1,2,8] A GE-algebra X is said to be transitive if it satisfies:

    (x,y,zX)(xy(zx)(zy)). (2.2)

    Proposition 2.3. [1] Every GE-algebra X satisfies the following items:

    (uX)(u1=1). (2.3)
    (u,vX)(u(uv)=uv). (2.4)
    (u,vX)(uvu). (2.5)
    (u,v,wX)(u(vw)v(uw)). (2.6)
    (uX)(1uu=1). (2.7)
    (u,vX)(u(vu)u). (2.8)
    (u,vX)(u(uv)v). (2.9)
    (u,v,wX)(uvwvuw). (2.10)

    If X is transitive, then

    (u,v,wX)(uvwuwv,vwuw). (2.11)
    (u,v,wX)(uv(vw)(uw)). (2.12)

    Lemma 2.4. [1] In a GE-algebra X, the following facts are equivalent each other.

    (x,y,zX)(xy(zx)(zy)). (2.13)
    (x,y,zX)(xy(yz)(xz)). (2.14)

    Definition 2.5. [1] A subset F of a GE-algebra X is called a GE-filter of X if it satisfies:

    1F, (2.15)
    (x,yX)(xyF,xFyF). (2.16)

    Lemma 2.6. [1] In a GE-algebra X, every filter F of X satisfies:

    (x,yX)(xy,xFyF). (2.17)

    Definition 2.7. [7] A subset F of a GE-algebra X is called a prominent GE-filter of X if it satisfies (2.15) and

    (x,y,zX)(x(yz)F,xF((zy)y)zF). (2.18)

    Note that every prominent GE-filter is a GE-filter in a GE-algebra (see [7]).

    Definition 2.8. [5] By an interior GE-algebra we mean a pair (X,f) in which X is a GE-algebra and f:XX is a mapping such that

    (xX)(xf(x)), (2.19)
    (xX)((ff)(x)=f(x)), (2.20)
    (x,yX)(xyf(x)f(y)). (2.21)

    Definition 2.9. [10] Let (X,f) be an interior GE-algebra. A GE-filter F of X is said to be interior if it satisfies:

    (xX)(f(x)FxF). (2.22)

    Definition 3.1. Let (X,f) be an interior GE-algebra. Then a subset F of X is called a prominent interior GE-filter in (X,f) if F is a prominent GE-filter of X which satisfies the condition (2.22).

    Example 3.2. Let X={1,2,3,4,5} be a set with the Cayley table which is given in Table 1.

    Table 1.  Cayley table for the binary operation "".
    1 2 3 4 5
    1 1 2 3 4 5
    2 1 1 1 4 4
    3 1 1 1 5 5
    4 1 2 3 1 1
    5 1 2 2 1 1

     | Show Table
    DownLoad: CSV

    Then X is a GE-algebra. If we define a mapping f on X as follows:

    f:XX,x{1if x{1,4,5},2if x{2,3},

    then (X,f) is an interior GE-algebra and F={1,4,5} is a prominent interior GE-filter in (X,f).

    It is clear that every prominent interior GE-filter is a prominent GE-filter. But any prominent GE-filter may not be a prominent interior GE-filter in an interior GE-algebra as seen in the following example.

    Example 3.3. Let X={1,2,3,4,5} be a set with the Cayley table which is given in Table 2,

    Table 2.  Cayley table for the binary operation "".
    1 2 3 4 5
    1 1 2 3 4 5
    2 1 1 3 4 1
    3 1 2 1 4 5
    4 1 2 3 1 5
    5 1 1 3 4 1

     | Show Table
    DownLoad: CSV

    and define a mapping f on X as follows:

    f:XX,x{1if x{1,2,3,5},4if x=4.

    Then (X,f) is an interior GE-algebra and F:={1} is a prominent GE-filter of X. But it is not a prominent interior GE-filter in (X,f) since f(2)=1F but 2F.

    We discuss relationship between interior GE-filter and prominent interior GE-filter.

    Theorem 3.4. In an interior GE-algebra, every prominent interior GE-filter is an interior GE-filter.

    Proof. It is straightforward because every prominent GE-filter is a GE-filter in a GE-algebra.

    In the next example, we can see that any interior GE-filter is not a prominent interior GE-filter in general.

    Example 3.5. Let X={1,2,3,4,5} be a set with the Cayley table which is given in Table 3.

    Table 3.  Cayley table for the binary operation "".
    1 2 3 4 5
    1 1 2 3 4 5
    2 1 1 1 4 4
    3 1 2 1 4 4
    4 1 1 3 1 1
    5 1 1 1 1 1

     | Show Table
    DownLoad: CSV

    Then X is a GE-algebra. If we define a mapping f on X as follows:

    f:XX,x{1if x=1,2if x{2,4,5},3if x=3,

    then (X,f) is an interior GE-algebra and F={1} is an interior GE-filter in (X,f). But it is not a prominent interior GE-filter in (X,f) since 1(23)=1F but ((32)2)3=3F.

    Proposition 3.6. Every prominent interior GE-filter F in an interior GE-algebra (X,f) satisfies:

    (x,yX)(f(xy)F((yx)x)yF). (3.1)

    Proof. Let F be a prominent interior GE-filter in (X,f). Let x,yX be such that f(xy)F. Then xyF by (2.22), and so 1(xy)=xyF by (GE2). Since 1F, it follows from (2.18) that ((yx)x)yF.

    Corollary 3.7. Every prominent interior GE-filter F in an interior GE-algebra (X,f) satisfies:

    (x,yX)(xyF((yx)x)yF). (3.2)

    Proof. Let F be a prominent interior GE-filter in (X,f). Then F is an interior GE-filter in (X,f) by Theorem 3.4. Let x,yX be such that xyF. Since xyf(xy) by (2.19), it follows from Lemma 2.6 that f(xy)F. Hence ((yx)x)yF by Proposition 3.6.

    Corollary 3.8. Every prominent interior GE-filter F in an interior GE-algebra (X,f) satisfies:

    (x,yX)(xyFf(((yx)x)y)F).

    Proof. Straightforward.

    Corollary 3.9. Every prominent interior GE-filter F in an interior GE-algebra (X,f) satisfies:

    (x,yX)(f(xy)Ff(((yx)x)y)F).

    Proof. Straightforward.

    In the following example, we can see that any interior GE-filter F in an interior GE-algebra (X,f) does not satisfy the conditions (3.1) and (3.2).

    Example 3.10. Consider the interior GE-algebra (X,f) in Example 3.4. The interior GE-filter F:={1} does not satisfy conditions (3.1) and (3.2) since f(23)=f(1)=1F and 23=1F but ((32)2)3=3F.

    We provide conditions for an interior GE-filter to be a prominent interior GE-filter.

    Theorem 3.11. If an interior GE-filter F in an interior GE-algebra (X,f) satisfies the condition (3.1), then F is a prominent interior GE-filter in (X,f).

    Proof. Let F be an interior GE-filter in (X,f) that satisfies the condition (3.1). Let x,y,zX be such that x(yz)F and xF. Then yzF. Since yzf(yz) by (2.19), it follows from Lemma 2.6 that f(yz)F. Hence ((zy)y)zF by (3.1), and therefore F is a prominent interior GE-filter in (X,f).

    Lemma 3.12. [10] In an interior GE-algebra, the intersection of interior GE-filters is also an interior GE-filter.

    Theorem 3.13. In an interior GE-algebra, the intersection of prominent interior GE-filters is also a prominent interior GE-filter.

    Proof. Let {FiiΛ} be a set of prominent interior GE-filters in an interior GE-algebra (X,f) where Λ is an index set. Then {FiiΛ} is a set of interior GE-filters in (X,f), and so {FiiΛ} is an interior GE-filter in (X,f) by Lemma 3.12. Let x,yX be such that f(xy){FiiΛ}. Then f(xy)Fi for all iΛ. It follows from Proposition 3.6 that ((yx)x)yFi for all iΛ. Hence ((yx)x)y{FiiΛ} and therefore {FiiΛ} is a prominent interior GE-filter in (X,f) by Theorem 3.11.

    Theorem 3.14. If an interior GE-filter F in an interior GE-algebra (X,f) satisfies the condition (3.2), then F is a prominent interior GE-filter in (X,f).

    Proof. Let F be an interior GE-filter in (X,f) that satisfies the condition (3.2). Let x,y,zX be such that x(yz)F and xF. Then yzF and thus ((zy)y)zF. Therefore F is a prominent interior GE-filter in (X,f).

    Given an interior GE-filter F in an interior GE-algebra (X,f), we consider an interior GE-filter G which is greater than F in (X,f), that is, we take two interior GE-filters F and G such that FG in an interior GE-algebra (X,f). We are now trying to find the condition that G can be a prominent interior GE-filter in (X,f).

    Theorem 3.15. Let (X,f) be an interior GE-algebra in which X is transitive. Let F and G be interior GE-filters in (X,f). If FG and F is a prominent interior GE-filter in (X,f), then G is also a prominent interior GE-filter in (X,f).

    Proof. Assume that F is a prominent interior GE-filter in (X,f). Then it is an interior GE-filter in (X,f) by Theorem 3.4. Let x,yX be such that f(xy)G. Then xyG by (2.22), and so 1=(xy)(xy)x((xy)y) by (GE1) and (2.6). Since 1F, it follows from Lemma 2.6 that x((xy)y)F. Hence ((((xy)y)x)x)((xy)y)FG by Corollary 3.7. Since

    ((((xy)y)x)x)((xy)y)(xy)(((((xy)y)x)x)y)

    by (2.6), we have (xy)(((((xy)y)x)x)y)G by Lemma 2.6. Hence

    ((((xy)y)x)x)yG.

    Since y(xy)y, it follows from (2.11) that

    ((((xy)y)x)x)y((yx)x)y.

    Thus ((yx)x)yG by Lemma 2.6. Therefore G is a prominent interior GE-filter in (X,f). by Theorem 3.11.

    The following example describes Theorem 3.15.

    Example 3.16. Let X={1,2,3,4,5} be a set with the Cayley table which is given in Table 4,

    Table 4.  Cayley table for the binary operation "".
    1 2 3 4 5
    1 1 2 3 4 5
    2 1 1 1 5 5
    3 1 1 1 5 5
    4 1 3 3 1 1
    5 1 3 3 1 1

     | Show Table
    DownLoad: CSV

    and define a mapping f on X as follows:

    f:XX,x{1if x=1,3if x{2,3},5if x{4,5}.

    Then (X,f) is an interior GE-algebra in which X is transitive, and F:={1} and G:={1,4,5} are interior GE-filters in (X,f) with FG. Also we can observe that F and G are prominent interior GE-filters in (X,f).

    In Theorem 3.15, if F is an interior GE-filter which is not prominent, then G is also not a prominent interior GE-filter in (X,f) as shown in the next example.

    Example 3.17. Let X={1,2,3,4,5} be a set with the Cayley table which is given in Table 5,

    Table 5.  Cayley table for the binary operation "".
    1 2 3 4 5
    1 1 2 3 4 5
    2 1 1 1 4 1
    3 1 5 1 4 5
    4 1 1 1 1 1
    5 1 1 1 4 1

     | Show Table
    DownLoad: CSV

    and define a mapping f on X as follows:

    f:XX,x{1if x=1,3if x=3,4if x=4,2if x{2,5}.

    Then (X,f) is an interior GE-algebra in which X is transitive, and F:={1} and G:={1,3} are interior GE-filters in (X,f) with FG. We can observe that F and G are not prominent interior GE-filters in (X,f) since 23=1F but ((32)2)3=(52)3=13=3F, and 42=1G but ((24)4)2=(44)2=12=2G.

    In Theorem 3.15, if X is not transitive, then Theorem 3.15 is false as seen in the following example.

    Example 3.18. Let X={1,2,3,4,5,6} be a set with the Cayley table which is given in Table 6.

    Table 6.  Cayley table for the binary operation "".
    1 2 3 4 5 6
    1 1 2 3 4 5 6
    2 1 1 1 6 6 6
    3 1 1 1 5 5 5
    4 1 1 3 1 1 1
    5 1 2 3 2 1 1
    6 1 2 3 2 1 1

     | Show Table
    DownLoad: CSV

    If we define a mapping f on X as follows:

    f:XX,x{1if x=1,4if x=4,5if x=5,6if x=6,2if x{2,3},

    then (X,f) is an interior GE-algebra in which X is not transitive. Let F:={1} and G:={1,5,6}. Then F is a prominent interior GE-filter in (X,f) and G is an interior GE-filter in (X,f) with FG. But G is not prominent interior GE-filter since 5(34)=55=1G and 5G but ((43)3)4=(33)4=14=4G.

    Definition 3.19. Let (X,f) be an interior GE-algebra and let F be a subset of X which satisfies (2.15). Then F is called:

    A prominent interior GE-filter of type 1 in (X,f) if it satisfies:

    (x,y,zX)(x(yf(z))F,f(x)F((f(z)y)y)f(z)F). (3.3)

    A prominent interior GE-filter of type 2 in (X,f) if it satisfies:

    (x,y,zX)(x(yf(z))F,f(x)F((zf(y))f(y))zF). (3.4)

    Example 3.20. (1). Let X={1,2,3,4,5} be a set with the Cayley table which is given in Table 7,

    Table 7.  Cayley table for the binary operation "".
    1 2 3 4 5
    1 1 2 3 4 5
    2 1 1 1 1 1
    3 1 2 1 2 2
    4 1 1 1 1 1
    5 1 1 1 1 1

     | Show Table
    DownLoad: CSV

    and define a mapping f on X as follows:

    f:XX,x{1if x{1,3}2if x=2,4if x=4,5if x=5.

    Then (X,f) is an interior GE-algebra and F:={1,3} is a prominent interior GE-filter of type 1 in (X,f).

    (2). Let X={1,2,3,4,5} be a set with the Cayley table which is given in Table 8,

    Table 8.  Cayley table for the binary operation "".
    1 2 3 4 5
    1 1 2 3 4 5
    2 1 1 1 1 1
    3 1 1 1 4 1
    4 1 1 1 1 5
    5 1 1 3 4 1

     | Show Table
    DownLoad: CSV

    and define a mapping f on X as follows:

    f:XX,x{1if x=1,2if x{2,3,4,5}.

    Then (X,f) is an interior GE-algebra and F:={1,3} is a prominent interior GE-filter of type 2 in (X,f).

    Theorem 3.21. In an interior GE-algebra, every prominent interior GE-filter is of type 1.

    Proof. Let F be a prominent interior GE-filter in an interior GE-algebra (X,f). Let x,y,zX be such that x(yf(z))F and f(x)F. Then xF by (2.22). It follows from (2.18) that ((f(z)y)y)f(z)F. Hence F is a prominent interior GE-filter of type 1 in (X,f).

    The following example shows that the converse of Theorem 3.21 may not be true.

    Example 3.22. Let X={1,2,3,4,5} be a set with the Cayley table which is given in Table 9,

    Table 9.  Cayley table for the binary operation "".
    1 2 3 4 5
    1 1 2 3 4 5
    2 1 1 1 1 1
    3 1 1 1 1 5
    4 1 1 3 1 1
    5 1 1 1 1 1

     | Show Table
    DownLoad: CSV

    and define a mapping f on X as follows:

    f:XX,x{1if x=1,2if x{2,3},5if x{4,5}.

    Then (X,f) is an interior GE-algebra and F:={1} is a prominent interior GE-filter of type 1 in (X,f). But it is not a prominent interior GE-filter in (X,f) since 1(34)=1F but (43)3)4=4F.

    The following example shows that prominent interior GE-filter and prominent interior GE-filter of type 2 are independent of each other, i.e., prominent interior GE-filter is not prominent interior GE-filter of type 2 and neither is the inverse.

    Example 3.23. (1). Let X={1,2,3,4,5} be a set with the Cayley table which is given in the following Table 10,

    Table 10.  Cayley table for the binary operation "".
    1 2 3 4 5
    1 1 2 3 4 5
    2 1 1 1 1 1
    3 1 5 1 1 5
    4 1 1 1 1 1
    5 1 3 3 1 1

     | Show Table
    DownLoad: CSV

    and define a mapping f on X as follows:

    f:XX,x{1if x=1,4if x{3,4}5if x{2,5}.

    Then (X,f) is an interior GE-algebra and F:={1} F is a prominent interior GE-filter in (X,f). But it is not a prominent interior GE-filter of type 2 since 1(5f(2))=55=1F and f(1)=1F but ((2f(5))f(5))2=((25)5)2=(15)2=52=3F.

    (2). Let X={1,2,3,4,5} be a set with the Cayley table which is given in the following Table 11,

    Table 11.  Cayley table for the binary operation "".
    1 2 3 4 5
    1 1 2 3 4 5
    2 1 1 1 1 1
    3 1 2 1 1 1
    4 1 1 1 1 1
    5 1 1 1 1 1

     | Show Table
    DownLoad: CSV

    and define a mapping f on X as follows:

    f:XX,x{1if x=1,5if x{2,3,4,5}.

    Then (X,f) is an interior GE-algebra and F:={1} is a prominent interior GE-filter of type2 in (X,f). But it is not a prominent interior GE-filter in (X,f) since 1(23)=11=1F and 1F but ((32)2)3=(22)3=13=3F.

    The following example shows that prominent interior GE-filter of type 1 and prominent interior GE-filter of type 2 are independent of each other.

    Example 3.24. (1). Let X={1,2,3,4,5} be a set with the Cayley table which is given in the following Table 12,

    Table 12.  Cayley table for the binary operation "".
    1 2 3 4 5
    1 1 2 3 4 5
    2 1 1 1 5 5
    3 1 1 1 1 1
    4 1 1 1 1 1
    5 1 1 1 1 1

     | Show Table
    DownLoad: CSV

    and define a mapping f on X as follows:

    f:XX,x{1if x=1,3if x{2,3},5if x{4,5}.

    Then (X,f) is an interior GE-algebra and F:={1,2,4} is a prominent interior GE-filter of type 1 in (X,f). But it is not a prominent interior GE-filter of type 2 since 1(5f(2))=1(53)=11=1F and f(1)=1F but ((2f(5))f(5))2=((25)5)2=(55)2=12=2F.

    (2). Let X={1,2,3,4,5} be a set with the Cayley table which is given in the following Table 13,

    Table 13.  Cayley table for the binary operation "".
    1 2 3 4 5
    1 1 2 3 4 5
    2 1 1 4 4 5
    3 1 1 1 1 1
    4 1 2 2 1 5
    5 1 1 1 1 1

     | Show Table
    DownLoad: CSV

    and define a mapping f on X as follows:

    f:XX,x{1if x=1,2if x=2,4if x=4,3if x{3,5}.

    Then (X,f) is an interior GE-algebra and F:={1} is a prominent interior GE-filter of type 2 in (X,f). But it is not a prominent interior GE-filter of type 1 in (X,f) since 1(5f(2))=1(52)=11=1F and f(1)F but ((f(2)5)5)f(2)=((25)5)2=(55)2=12=2F.

    The following example shows that interior GE-filter and prominent interior GE-filter of type 1 are independent of each other.

    Example 3.25. (1). Let X={1,2,3,4,5} be a set with the Cayley table which is given in the following Table 14,

    Table 14.  Cayley table for the binary operation "".
    1 2 3 4 5
    1 1 2 3 4 5
    2 1 1 5 5 5
    3 1 1 1 1 1
    4 1 1 1 1 1
    5 1 1 1 1 1

     | Show Table
    DownLoad: CSV

    and define a mapping f on X as follows:

    f:XX,x{1if x=1,2if x=2,5if x{3,4,5}.

    Then (X,f) is an interior GE-algebra and F:={1} is an interior GE-filter in (X,f). But F is not prominent interior GE-filter of type 1 since 1(5f(2))=1(52)=11=1F and f(1)=1F but ((f(2)5)5)2=((25)5)2=(55)2=12=2F.

    (2). Let X={1,2,3,4,5} be a set with the Cayley table which is given in the following Table 15,

    Table 15.  Cayley table for the binary operation "".
    1 2 3 4 5
    1 1 2 3 4 5
    2 1 1 5 1 5
    3 1 2 1 1 1
    4 1 1 3 1 5
    5 1 1 1 1 1

     | Show Table
    DownLoad: CSV

    and define a mapping f on X as follows:

    f:XX,x{1if x{1,2,4},5if x{3,5}.

    Then (X,f) is an interior GE-algebra and F:={1,2} is a prominent interior GE-filter of type 1 in (X,f). But it is not an interior GE-filter in (X,f) since 24=1 and 2F but 4F.

    The following example shows that interior GE-filter and prominent interior GE-filter of type 2 are independent of each other.

    Example 3.26. (1). Let X={1,2,3,4,5} be a set with the Cayley table which is given in the following Table 16,

    Table 16.  Cayley table for the binary operation "".
    1 2 3 4 5
    1 1 2 3 4 5
    2 1 1 1 1 1
    3 1 2 1 1 2
    4 1 2 3 1 5
    5 1 1 1 1 1

     | Show Table
    DownLoad: CSV

    and define a mapping f on X as follows:

    f:XX,x{1if x{1,4}2if x=2,3if x=3,5if x=5.

    Then (X,f) is an interior GE-algebra and F:={1,4} is an interior GE-filter in (X,f). But F is not prominent interior GE-filter of type 2 since 4(2f(3))=4(23)=41=1F and f(4)=1F but ((3f(2))f(2))3=((32)2)3=(22)3=13=3F.

    (2). Let X={1,2,3,4,5} be a set with the Cayley table which is given in the following Table 17,

    Table 17.  Cayley table for the binary operation "".
    1 2 3 4 5
    1 1 2 3 4 5
    2 1 1 1 1 5
    3 1 1 1 1 1
    4 1 1 1 1 5
    5 1 1 1 1 1

     | Show Table
    DownLoad: CSV

    and define a mapping f on X as follows:

    f:XX,x{1if x=1,3if x{2,3,4,5}.

    Then (X,f) is an interior GE-algebra and F:={1,2,5} is a prominent interior GE-filter of type 2 in (X,f). But it is not an interior GE-filter in (X,f) since 54=1 and 5F but 4F.

    Before we conclude this paper, we raise the following question.

    Question. Let (X,f) be an interior GE-algebra. Let F and G be interior GE-filters in (X,f). If FG and F is a prominent interior GE-filter of type 1 (resp., type 2) in (X,f), then is G also a prominent interior GE-filter of type 1 (resp., type 2) in (X,f)?

    We have introduced the concept of a prominent interior GE-filter (of type 1 and type 2), and have investigated their properties. We have discussed the relationship between a prominent GE-filter and a prominent interior GE-filter and the relationship between an interior GE-filter and a prominent interior GE-filter. We have found and provide examples where any interior GE-filter is not a prominent interior GE-filter and any prominent GE-filter is not a prominent interior GE-filter. We have provided conditions for an interior GE-filter to be a prominent interior GE-filter. We have given conditions under which an internal GE-filter larger than a given internal GE filter can become a prominent internal GE-filter, and have provided an example describing it. We have considered the relationship between a prominent interior GE-filter and a prominent interior GE-filter of type 1. We have found and provide examples to verify that a prominent interior GE-filter of type 1 and a prominent interior GE-filter of type 2, a prominent interior GE-filter and a prominent interior GE-filter of type 2, an interior GE-filter and a prominent interior GE-filter of type 1, and an interior GE-filter and a prominent interior GE-filter of type 2 are independent each other. In future, we will study the prime and maximal prominent interior GE-filters and their topological properties. Moreover, based on the ideas and results obtained in this paper, we will study the interior operator theory in related algebraic systems such as MV-algebra, BL-algebra, EQ-algebra, etc. It will also be used for pseudo algebra systems and further to conduct research related to the very true operator theory.

    This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2016R1D1A1B02006812).

    The authors wish to thank the anonymous reviewers for their valuable suggestions.

    All authors declare no conflicts of interest in this paper.



    [1] Ferreira MEA, Quinta ALMP, Lima DA, et al. (2022) Automatic evolutionary adjustment of cellular automata model for forest fire propagation, in International Conference on Cellular Automata for Research and Industry, Cham: Springer, 13402: 235–245. https://doi.org/10.1007/978-3-031-14926-9-21
    [2] Alvarado ST, de Carvalho IS, Ferraz TM, et al. (2019) Effects of fire suppression policies on fire regimes in protected areas in the Cerrado. Biodiversidade Brasileira 9: 200.
    [3] Karafyllidis I, Thanailakis A (1997) A model for predicting forest fire spreading using cellular automata. Ecol Model 99: 87–97. https://doi.org/10.1016/S0304-3800(96)01942-4 doi: 10.1016/S0304-3800(96)01942-4
    [4] Nhaga T, de Fátima Camarotti M, Correia MLD (2021) Subsidies for the implementation of Environmental Education in the National Park of Sete Cidades (PI, Brazil) through the perception of residents of a surrounding community. Braz J Environ Educ 16: 527–547. https://doi.org/10.34024/revbea.2021.v16.11008 doi: 10.34024/revbea.2021.v16.11008
    [5] Araújo KC, Andrade EB, Brasileiro AC, et al. (2020) Anurans of Sete Cidades National Park, Piauí state, northeastern Brazil. Biota Neotrop 20: e20201061. https://doi.org/10.1590/1676-0611-BN-2020-1061 doi: 10.1590/1676-0611-BN-2020-1061
    [6] Oliveira MEA, Martins FR, Castro A, et al. (2007) Classes de cobertura vegetal do Parque Nacional de Sete Cidades (transição campo-floresta) utilizando imagens TM/Landsat, NE do Brasil, in XIII Simpósio Brasileiro de Sensoriamento Remoto, Florianópolis, Anais (Proceedings) 13: 1775–1783.
    [7] Mendes MRA, Munhoz CBR, Silva Júnior MC, et al. (2012) Vegetation and soil relationship in moist grassland in the National Park of Sete Cidades, Piauí, Brazil. Rodriguesia 63: 971–984. https://doi.org/10.1590/S2175-78602012000400014 doi: 10.1590/S2175-78602012000400014
    [8] Matos MQ, Felfili JM (2010) Floristics, phytosociology and diversity of tree vegetation in gallery forests of Sete Cidades National Park (PNSC), Piauí, Brazil. Acta Bot Bras 24: 483–496. https://doi.org/10.1590/S0102-33062010000200019 doi: 10.1590/S0102-33062010000200019
    [9] Silva AAC, Vidal JMC, da Silva RA, et al. (2018) Forest fires in the Serra da Canastra National Park and the implementation of integrated fire management. ForScience 6: e00404. https://doi.org/10.29069/forscience.2018v6n2.e404 doi: 10.29069/forscience.2018v6n2.e404
    [10] Eloy L, Schmidt IB, Borges SL, et al. (2019) Seasonal fire management by traditional cattle ranchers prevents the spread of wildfire in the Brazilian Cerrado. Ambio 48: 890–899. https://doi.org/10.1007/s13280-018-1118-8 doi: 10.1007/s13280-018-1118-8
    [11] Souza NLB, Lima DA (2019) Tabu search for the surveillance task optimization of a robot controlled by two-dimensional stochastic cellular automata ants model, in 2019 Latin American Robotics Symposium (LARS), 2019 Brazilian Symposium on Robotics (SBR) and 2019 Workshop on Robotics in Education (WRE), IEEE, Rio Grande, Brazil, 299–304. https://doi.org/10.1109/LARS-SBR-WRE48964.2019.00059
    [12] Lopes HJM, Lima DA (2022) Surveillance task optimized by Evolutionary shared Tabu Inverted Ant Cellular Automata Model for swarm robotics navigation control. Results Control Optim 8: 100141. https://doi.org/10.1016/j.rico.2022.100141 doi: 10.1016/j.rico.2022.100141
    [13] Lima DA, Oliveira GMB (2017) A cellular automata ant memory model of foraging in a swarm of robots. Appl Math Model 47: 551–572. https://doi.org/10.1016/j.apm.2017.03.021 doi: 10.1016/j.apm.2017.03.021
    [14] Monteiro LHA, Fanti VC, Tessaro AS (2020) On the spread of SARS-CoV-2 under quarantine: A study based on probabilistic cellular automaton. Ecol Complexity 44: 100879. https://doi.org/10.1016/j.ecocom.2020.100879 doi: 10.1016/j.ecocom.2020.100879
    [15] Lima HA, Lima DA (2014) Autômatos celulares estocásticos bidimensionais aplicados a simulação de propagação de incêndios em florestas homogêneas, in Workshop on Computing Applied to the Management of the Envirionment and Natural Resources (WCAMA), SBC, 15–24.
    [16] Horibe K, Walker K, Risi S (2021) Regenerating soft robots through neural cellular automata, In: Genetic Programming, Cham: Springer, 12691: 36–50. https://doi.org/10.1007/978-3-030-72812-0-3
    [17] Bin S, Sun G, Chen CC (2019) Spread of infectious disease: modeling and analysis of different factors on the spread of infectious disease based on cellular automata. Int J Environ Res Public Health 16: 4683. https://doi.org/10.3390/ijerph16234683 doi: 10.3390/ijerph16234683
    [18] Monteiro LHA, Gandini DM, Schimit PHT (2020) The influence of immune individuals in disease spread evaluated by cellular automaton and genetic algorithm. Comput Methods Programs Biomed 196: 105707. https://doi.org/10.1016/j.cmpb.2020.105707 doi: 10.1016/j.cmpb.2020.105707
    [19] Lira ER, de Macêdo HB, Lima DA, et al. (2023) A reversible system based on hybrid toggle radius-4 cellular automata and its application as a block cipher. Nat Comput 2023: 1–17. https://doi.org/10.1007/s11047-023-09941-6 doi: 10.1007/s11047-023-09941-6
    [20] Dai J, Zhai C, Ai J, et al. (2020) Modeling the spread of epidemics based on cellular automata. Processes 9: 55. https://doi.org/10.3390/pr9010055 doi: 10.3390/pr9010055
    [21] Stănică GC, Anghelescu P (2023) Cryptographic algorithm based on hybrid one-dimensional cellular automata. Mathematics 11: 1481. https://doi.org/10.3390/math11061481 doi: 10.3390/math11061481
    [22] Lima DA, Cabral Jr E, Almeida ITR, et al. (2020) A fire elitist cellular automaton-based model to verify pedestrian flow simulated in real environments using Arduino. Proc Ser Braz Soc Comput Appl Math 2020: 7. https://doi.org/10.5540/03.2020.007.01.0338 doi: 10.5540/03.2020.007.01.0338
    [23] Chen M, Wu K, Zhang H, et al. (2023) A ship evacuation model considering the interaction between pedestrians based on cellular automata. Ocean Eng 281: 114644. https://doi.org/10.1016/j.oceaneng.2023.114644 doi: 10.1016/j.oceaneng.2023.114644
    [24] Yuan XT, Tang TQ, Chen L, et al. (2023) A fine grid cellular automaton model for pedestrian evacuation considering the effect of an obstacle. Simulation 99: 957–968. https://doi.org/10.1177/00375497231161146 doi: 10.1177/00375497231161146
    [25] Jellouli O, Bernoussi AS (2022) The impact of dynamic wind flow behavior on forest fire spread using cellular automata: Application to the watershed BOUKHALEF (Morocco). Ecol Model 468: 109938. https://doi.org/10.1016/j.ecolmodel.2022.109938 doi: 10.1016/j.ecolmodel.2022.109938
    [26] Zan Y, Li D, Fu X (2022) Emulation of forest fire spread using ResNet and cellular automata, in 2022 7th International Conference on Computer and Communication Systems (ICCCS), IEEE, Wuhan, 109–114. https://doi.org/10.1109/ICCCS55155.2022.9845891
    [27] Liu L, Hou L, Liu B, et al. (2022) Establishment and simulation of forest fire spreading model based on cellular automata, In: Advances in Intelligent Information Hiding and Multimedia Signal Processing, Singapore: Springer, 277: 129–140. https://doi.org/10.1007/978-981-19-1057-9-13
    [28] Sun L, Xu C, He Y, et al. (2021) Adaptive forest fire spread simulation algorithm based on cellular automata. Forests 12: 1431. https://doi.org/10.3390/f12111431 doi: 10.3390/f12111431
    [29] Gharakhanlou NM, Hooshangi N (2021) Dynamic simulation of fire propagation in forests and rangelands using a GIS-based cellular automata model. Int J Wildland Fire 30: 652–663. https://doi.org/10.1071/WF20098 doi: 10.1071/WF20098
    [30] Zhao Y, Geng D (2021) Simulation of forest fire occurrence and spread based on cellular automata model. In 2021 2nd International Conference on Artificial Intelligence and Information Systems, 1–6. https://doi.org/10.1145/3469213.3471332
    [31] Zhang S, Liu J, Gao H, et al. (2022) Study on forest fire spread model of multi-dimensional cellular automata based on rothermel speed formula. CERNE 27: e-102932. https://doi.org/10.1590/01047760202127012932 doi: 10.1590/01047760202127012932
    [32] Sun W, Wei W, Chen J, et al. (2021) Research on Amazon forest fire based on cellular automata simulation, in 2021 20th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES), IEEE, Nanning, 175–178. https://doi.org/10.1109/DCABES52998.2021.00051
    [33] Byari M, Bernoussi AS, Ouardouz M, et al. (2021) Control of 3D cellular automata via actuator and space attributes: Application to fires forest, In: Cellular Automata, Cham: Springer, 12599: 123–133. https://doi.org/10.1007/978-3-030-69480-7-13
    [34] Darmawan S, Sari DK, Wikantika K, et al. (2020) Identification before-after forest fire and prediction of mangrove forest based on Markov-cellular automata in part of Sembilang national park, Banyuasin, South Sumatra, Indonesia. Remote Sens 12: 3700. https://doi.org/10.3390/rs12223700 doi: 10.3390/rs12223700
    [35] Mutthulakshmi K, Wee MRE, Wong YCK, et al. (2020) Simulating forest fire spread and fire-fighting using cellular automata. Chin J Phys 65: 642–650. https://doi.org/10.1016/j.cjph.2020.04.001 doi: 10.1016/j.cjph.2020.04.001
    [36] Bhakti HD, Ibrahim H, Fristella F, et al. (2020) Fire spread simulation using cellular automata in forest fire. IOP Conf Ser: Mater Sci Eng 821: 012037. https://doi.org/10.1088/1757-899X/821/1/012037 doi: 10.1088/1757-899X/821/1/012037
    [37] Hesam S, Valizadeh Kamran K (2019) Intelligent management occurrence and spread of front fire in Gis by using cellular automata. case study: Golestan forest, in International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Karaj, Iran, 42: 475–481. https://doi.org/10.5194/isprs-archives-XLII-4-W18-475-2019
    [38] Rui X, Hui S, Yu X, et al. (2018) Forest fire spread simulation algorithm based on cellular automata. Nat hazard 91: 309–319. https://doi.org/10.1007/s11069-017-3127-5 doi: 10.1007/s11069-017-3127-5
    [39] Giannino F, Russo L, Ascoli D, et al. (2017) Cellular automata simulation of forest fire behavior on Italian landscape: The case of Sardinia. AIP Conf Proc 1906: 100006. https://doi.org/10.1063/1.5012376 doi: 10.1063/1.5012376
    [40] Putri ND, Gunawan PH (2017) The performance of OpenMP architecture for simulating fire spreading in forest area by cellular automata, in 2017 5th International Conference on Information and Communication Technology (ICoIC7), IEEE, Melaka, Malaysia, 1–5. https://doi.org/10.1109/ICoICT.2017.8074661
    [41] Zheng Z, Huang W, Li S, et al. (2017) Forest fire spread simulating model using cellular automaton with extreme learning machine. Ecol Model 348: 33–43. https://doi.org/10.1016/j.ecolmodel.2016.12.022 doi: 10.1016/j.ecolmodel.2016.12.022
    [42] Xuehua W, Chang L, Jiaqi L, et al. (2016) A cellular automata model for forest fire spreading simulation, in IEEE Symposium Series on Computational Intelligence (SSCI), IEEE, Athens, 1–6. https://doi.org/10.1109/SSCI.2016.7849971
    [43] Zhou G, Wu Q, Chen A (2017) Research of cellular automata model for forest fire spreading simulation. Chin J Sci Instrum 38: 288–294.
    [44] Schadschneider A, Eilhardt C, Nowak S, et al. (2011) Towards a calibration of the floor field cellular automaton, In: Peacock, R., Kuligowski, E., Averill, J. Author, Pedestrian and Evacuation Dynamics, Boston: Springer, 557–566. https://doi.org/10.1007/978-1-4419-9725-8-50
    [45] Setzer AW, Sismanoglu, RA, dos Santos JGM (2019) Método do Cálculo do Risco de Fogo do Programa do INPE-Versão 11, junho/2019. CEP 12: 1–29.
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