Citation: Aman Ullah, Akram Khan, Ali Ahmadian, Norazak Senu, Faruk Karaaslan, Imtiaz Ahmad. Fuzzy congruences on AG-group[J]. AIMS Mathematics, 2021, 6(2): 1754-1768. doi: 10.3934/math.2021105
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With the beginning of fuzzy set theory [1], numerous contributions have been done by utilizing the concept of fuzzy sets from simple theoretical to logical and innovative disciplines. The theoretical aspect of fuzzy set theory deals as a tool, which extends the classical structure of algebra into the new form of arithmetical structures such as fuzzy relations, fuzzy equivalence and fuzzy compatible relations, fuzzy-semigroups and fuzzy-groups. Keeping this in mind, Rosenfeld [2] made excellent contributions in generalizing groupoids and groups via fuzzy set theory. Since then, many researchers explored fuzzy relations and fuzzy equivalence relations in general and particular in groups [3,4,5,6,7,8]. Murali [9] examined fuzzy-relations on sets and lattices properties of fuzzy equivalence relations. Kuroki [10] studied the fuzzy-compatibility on groupoids and generalized it to fuzzy-congruence on groups employing fuzzy normal subetaoups. Fuzzy-congruences on n-ary semigroups, quotient n-ary semigroups, and isomorphism theorems in n-ary semigroups were established in [11]. They also relate fuzzy congruences and fuzzy normal ideals, and provided that there is a one-to-one mapping from the set of all fuzzy normal ideals of the special n-ary semigroups to the set of all fuzzy congruences in an n-ary semigroup with one zero. The concepts of fuzzy normal congruence and fuzzy coset relation on a group were explored by Shoar in [12] and provided that a level subset of fuzzy normal congruence is also a normal congruence.
After the start of AG-groups, a midway structure between an abelian group and quasigroup investigated by numerous analysts. AG-groups up to order 11 are counted by Shah, and give lower bound for order 12 [13], it appears that from ordered 3–12 there exist 1,2,1,1,1,7,3,1,1and ≥5, non-associative AG-groups, respectively. As each commutative group is an AG-group, but the converse isn't true. In specific, there exist non-abelian AG-groups of order 3, 32 or holding the squaring property (ab)2=a2b2∀a,b∈G. Moreover, from an abelian group (G,⋅) one can easily obtain an AG-group under "∗'' given by:
s∗t=t⋅s−1ors∗t=s−1⋅t, |
for all s,t∈G [14]. The authors of this paper also contributed in AG-groups in many ways see [15,16,17,18,19]. Recently, the notions of congruences and decomposition of the non-associative structure have been introduced, and then the notions of fuzzy congruences in the non-associative structure are also been introduced [20,21]. Further, various other notions like fuzzy normal and self-conjugate are investigated by them and show that fuzzy kernel and traces of a congruence provided a congruence pair. Congruence is one of the fundamental concepts in number theory; used in business, computer science, physics, chemistry, biology, music, and to design round-robin tournaments [22,23,24]. However, congruence arithmetic has many applications in the foundation of modern cryptography in public-key encryption, secret sharing, wireless authentication, and many other applications for data security [25,26]. Based on this, the notion of fuzzy congruences is extended to AG-groups.
A fuzzy set is defined by:
S={(x,β(x)):x∈X,β(x)∈[0,1]}, |
where the set of all fuzzy sets over X is denoted by FP(X). A function β:X×X→[0,1] is a fuzzy relation on X [27]. Let β and γ be any fuzzy relations on X. Then their product is represented by:
β∘γ(p,q)=maxr∈X(β(p,r)∧γ(r,q)). |
Therefore, a fuzzy relation on X is a fuzzy equivalence relation: if ∀p,q,r∈X. i. β(p,p)=1 (fuzzy reflexive), ii. β(p,q)=β(q,p) (fuzzy symmetric) and iii. β∘β≤β (fuzzy transitive) [28]. A fuzzy relation β is fuzzy left (fuzzy right) compatible if β(rp,rq)≥β(p,q) (β(pr,qr)≥β(p,q)); and is fuzzy compatible if β(pr,qs)≥(β(p,q)∧β(r,s)) for all p,q,r,s∈S where S is a semigroup [29]. Further, if β is fuzzy left (fuzzy right) compatible and fuzzy equivalence relation on S, then β is called a fuzzy left (fuzzy right) congruence relation on S; and is fuzzy congruence if and only if it is both fuzzy left and fuzzy right congruence [29]. Simply, a fuzzy compatible and a fuzzy equivalence relation on S is called a fuzzy congruence, where FC(S) represents the set of all fuzzy congruences on S. In the rest of the paper, G represents an AG-group where e be the left identity of G. An AG-groupoid G containing left identity and the inverse of each element in G is called an AG-group. A fuzzy AG-group is defined as follow. Let β∈FP(G). Then β is a fuzzy AG-group on G if, for all s,t∈G, β(st)≥(β(s)∧β(t)) and β(s−1)≥β(s) or β(st−1)≥(β(s)∧β(t))∀s,t∈G. From now on F(G) will represent the set of all fuzzy AG-groups on G [16].
Example 1. Let G={0,1,2,3} be an AG-group, under the multiplication table:
![]() |
Clearly, ν∈F(G) where ν is defined by: ν(0)=0.7, ν(1)=ν(2)=ν(3)=0.5.
Example 2. Let G={a0,a1,a2,a3,a4,a5} be an AG-group, under the multiplication table:
![]() |
Clearly, ν∈F(G), where ν(a0)=0.5,ν(a2)=0.4=ν(a4),ν(a1)=ν(a3)=ν(a5)=0.2.
From fuzzy AG-group the following are obvious [16]:
(1) Let β,γ∈FP(G), then (β∘γ)(p)=(γ∘β)(pe)∀p∈G.
(2) Let β∈F(G), then β(pq)=β(qp)∀p,q∈G.
(3) Let β∈F(G), then, β(e)≥β(p), and β(p−1)=β(p)∀p∈G.
(4) Let β∈FP(G), then β∈F(G)⇔β∘β⊆β and β−1=β.
Let δ∈F(G). If for any a,x∈G
δ((ax)a−1)=δa(x), |
then δ is called a fuzzy normal AG-subetaoup of G [15]. Henceforth, FN(G) will represent the set of all fuzzy normal AG-subetaoup of G.
Theorem 1. [15] Let δ∈F(G). The following are equivalent ∀a,x∈G,
(i) δ((ax)a−1)=δ(x);
(ii) δ((ax)a−1)≥δ(x);
(iii) δ((ax)a−1)≤δ(x).
Definition 1. Let ϕ:S→T be a homomorphism on semigroups S and T. Then, Ker(ϕ)={(s1,s2)∈S×S:ϕ(s1)=ϕ(s2)} is a congruence on S [30].
In this section we provide some new results about fuzzy congruences on AG-groups.
Theorem 2. Let ν1,ν2∈F(G). Then ν1∘ν2∈F(G).
Proof. Let ν1∘ν2∈F(G). Using left invertive law we have
(ν1∘ν2)∘(ν1∘ν2)=((ν1∘ν2)∘ν2)∘ν1=((ν2∘ν2)∘ν1)∘ν1=(ν1∘ν1)∘(ν2∘ν2)≤(ν1∘ν2). |
This implies that (ν1∘ν2)∘(ν1∘ν2)≤(ν1∘ν2). Also we have
(ν1∘ν2)−1(p)=(ν1∘ν2)(p−1)=maxp−1=st(ν1(s)∧ν2(t))=maxp=(st)−1(ν1(s)∧ν2(t))=maxp=s−1t−1(ν1(s−1)∧ν2(t−1));ν1,ν2∈F(G)=(ν1∘ν2)(p). |
This implies that (ν1∘ν2)−1=(ν1∘ν2). Hence, by the result stated above in (4), ν1∘ν2∈F(G).
Thus unlike group, the composition of two "fuzzy AG-subetaoups" is also "fuzzy AG-subetaoups" without the condition of commutativity.
Example 3. Consider an AG-group defined in Example 1. Clearly, μ:G×G→[0,1] defined by
![]() |
is fuzzy congruence on G.
Example 4. Consider an AG-group defined in Example 2. Clearly, μ:G×G→[0,1] defined by
![]() |
Then, μ∈FC(G).
Lemma 1. Let β and γ be fuzzy compatible on G, then β∘γ is also fuzzy compatible on G.
Proof. For any p,q,r,s∈G we have β(pr,qs)≥(β(p,q)∧β(r,s)) and γ(pr,qs)≥(γ(p,q)∧γ(r,s)) as β and γ are compatible. Now,
(β∘γ)(pr,qs)==maxt∈G(β(pr,t)∧γ(t,qs))=maxt=uv∈G(β(pr,uv)∧γ(uv,qs))≥maxz=uv∈G[(β(p,u)∧β(r,v))∧(γ(u,q)∧γ(v,s))]=(maxu∈G(β(p,u)∧γ(u,q)))∧(maxv∈G(β(r,v)∧γ(v,s)))=(β∘γ)(p,q)∧(β∘γ)(r,s). |
This implies that (β∘γ)(pr,qs)≥((β∘γ)(p,q)∧(β∘γ)(r,s)). Hence, β∘γ is fuzzy compatible on G.
Lemma 2. A fuzzy relation β on G is fuzzy congruence ⇔ β is fuzzy left and fuzzy right compatible.
Proof. Consider β∈FC(G), then, β(p,q)=β(p,q)∧β(r,r)≤β(pr,qr) and β(p,q)=β(r,r)∧β(p,q)≤β(rp,rq)∀p,q,r∈G. Hence, β is fuzzy left and fuzzy right compatible.
Conversely, consider β is fuzzy left and fuzzy right compatible, then ∀p,q,u,v∈G,
β(p,q)∧β(u,v)=β(p,q)∧β(u,u)∧β(q,q)∧β(u,v)≤β(pu,qu)∧β(qu,qv)≤β(pu,qv). |
Hence, β∈FC(G).
Theorem 3. If β,γ∈FC(G) and β∘γ=γ∘β. Then β∘γ∈FC(G).
Proof. Consider β,γ∈FC(G), such that β∘γ=γ∘β. First we show that β∘γ is an equivalence relation. Clearly, β∘γ(s,s)=1. For symmetry take any s,t∈G,
(β∘γ)(s,t)=maxu∈G(β(s,u)∧γ(u,t))=maxu∈G(γ(u,t)∧β(s,u))=maxu∈G(γ(t,u)∧β(u,s));(β,γ∈FC(G))=(γ∘β)(t,s)=(β∘γ)(t,s). |
⇒β∘γ is fuzzy symmetric.
Using medial law, we get (β∘γ)∘(β∘γ)=(β∘β)∘(γ∘γ)≤β∘γ. Therefore, β∘γ is an equivalence relation and by Lemma 1, β∘γ is compatible. Hence, β∘γ∈FC(G).
Corollary 1. Let β,γ∈FC(G). If β∘γ∈FC(G), then β∘γ=β∨γ.
Proof. Consider β∘γ∈FC(G) where β,γ∈FC(G). To show that β∘γ=β∨γ, take any p,q∈G
(β∘γ)(s,t)=maxu∈G(β(s,u)∧γ(u,t))≥β(s,t)∧γ(t,t)=β(s,t). |
This implies that β∘γ≥β. Similarly, β∘γ≥γ. Now take δ∈FC(G) such that δ≥β and δ≥γ. Then,
(β∘γ)(s,t)=maxu∈G(β(s,u)∧γ(u,t))≤maxu∈G(δ(s,u)∧δ(u,t))=δ(s,t). |
This implies that β∘γ≤δ. Thus, β∘γ=β∨γ.
Theorem 4. If β,γ∈FC(G). Then show that the following conditions are equivalent:
(1) β∘γ is a fuzzy congruence.
(2) β∘γ is a fuzzy equivalence.
(3) β∘γ is a fuzzy symmetric.
(4) β∘γ=γ∘β.
Proof. Obviously, (1)⇒(2)⇒(3).
To show that (3)⇒(4), take any p,q∈G,
(β∘γ)(p,q)=∨r∈G(β(p,r)∧γ(r,q))=∨r∈G(γ(r,q)∧β(p,r))=∨r∈G(γ(q,r)∧β(r,p));(β,γ∈FC(G))=(γ∘β)(q,p)=(γ∘β)(p,q). |
This implies that β∘γ=γ∘β.
Now consider (4) holds. We show that β∘γ∈FC(G). As (β∘γ)(p,p)=∨q∈G(β(p,q)∧γ(q,p))≥β(p,p)∧γ(p,p)=1, so that (β∘γ)(p,p)=1. Thus, β∘γ is fuzzy reflexive. Now for any p,q∈G, we have
(β∘γ)(p,q)=(γ∘β)(p,q)=maxr∈G(γ(p,r)∧β(r,q))=maxr∈G(β(r,q)∧γ(p,r))=maxr∈G(β(q,r)∧γ(r,p));(β,γ∈FC(G))=(β∘γ)(q,p). |
Thus, β∘γ is fuzzy symmetric. Using medial law and fuzzy transitivity we have,
(β∘γ)∘(β∘γ)=((β∘γ)∘γ))∘β=((γ∘γ)∘β)∘β=(β∘β)∘(γ∘γ)≤β∘γ. |
Therefore, β∘γ is a fuzzy equivalence relation on G. Compatibility follows by Lemma 1. Hence, β∘γ∈FC(G).
Theorem 5. If β,γ∈FC(G). Then β∘γ=γ∘β.
Proof. Let p,q∈G, then
(β∘γ)(p,q)=maxr∈G(β(p,r)∧γ(r,q))=maxr∈G(γ(r,q)∧β(p,r))=maxr=(ps−1)q∈G(γ((ps−1)q,q)∧β(p,(ps−1)q))=maxr=(ps−1)q∈G(γ((ps−1)q,eq)∧β(ep,(ps−1)q))=maxr=(qs−1)p∈G(γ((qs−1)p,((ss−1)q))∧β((ss−1)p,(ps−1)q))=maxr=(qs−1)p∈G(γ((qs−1)p,(qs−1)s))∧β((ps−1)s,(ps−1)q))=maxs∈G(γ(up,us)∧β(vs,vq))≥maxs∈G(γ(p,s)∧β(s,q))=(γ∘β)(p,q). |
Similarly, we can show that γ∘β≥β∘γ. Hence, β∘γ=γ∘β.
Theorem 6. Let β∈FC(G). Then β(u−1,v−1)=β(u,v)∀u,v∈G.
Proof. For any u,v∈G,
β(u−1,v−1)=β(eu−1,ev−1)=β((v−1v)u−1,(u−1u)v−1)=β((u−1v)v−1,(u−1u)v−1)≥β(u−1v,u−1u)≥β(v,u)=β(u,v);β∈FC(G). |
This implies β(u−1,v−1)≥β(u,v). Also,
β(u,v)=β(v,u);β∈FC(G).=β((uu−1)v,(vv−1)u)=β((vu−1)u,(vv−1)u)≥β(vu−1,vv−1)≥β(u−1,v−1). |
This implies that β(u,v)≥β(u−1,v−1). Hence, β(u−1,v−1)=β(u,v)∀u,v∈G.
Theorem 7. Let γ∈FN(G). Define a fuzzy relation by β(p,q)=γ(pq−1)∀p,q∈G. Then β∈FC(G).
Proof. Consider γ∈FN(G), and a fuzzy relation β defined by: β(p,q)=γ(pq−1)∀p,q∈G. We show that β∈FC(G). Let p∈G. Since, β(p,p)=γ(pp−1)=γ(e)=1, β is fuzzy reflexive. Let p,q∈G, then
β(p,q)=γ(pq−1)=γ((pq−1)−1);(γ(u−1)=γ(u)∀u∈G)=γ(p−1q)=γ(qp−1);(γ(ab)=γ(ba)∀a,b∈G)=β(q,p), |
β is fuzzy symmetric. Let p,q,r∈G, then
(β∘β)(p,q)=∨r∈G{β(p,r)∧β(r,q)}=∨r∈G{γ(pr−1)∧γ(rq−1)}≤∨r∈G{γ((r−1p)(rq−1))}=γ(r−1r)(pq−1);(by medial law)=γ(e(pq−1))=γ(pq−1)=β(p,q). |
Therefore, β is fuzzy transitive as β∘β≤β. Hence, β is fuzzy equivalence on G. Since γ∈FN(G). Therefore, for fuzzy compatibility, we have
β(rp,rq)=γ((rp)(rq)−1)=γ((rq)−1(rp))=γ((r−1q−1)(rp))=γ((r−1r)(q−1p))=γ(e⋅(q−1p))≥γ(e)∧γ(q−1p)=γ(q−1p);(γ(e)=1)=γ(pq−1)=β(p,q). |
This implies that β(rp,rq)≥β(p,q). Similarly, β(pr,qr)≥β(p,q). Hence, β∈FC(G).
Theorem 8. Let β∈FC(G), for any fuzzy set δ of G defined by δ(p)=β(p,e)∀p∈G. Then δ is fuzzy normal.
Proof. Since, β∈FC(G). Therefore, by fuzzy transitivity, for any p,q∈G, we have
δ(pq)=β(pq,e)=β(pq,q−1q)≥β(p,q−1)≥(β∘β)(p,q−1)=∨r∈G(β(p,r)∧β(r,q−1))≥β(p,e)∧β(e,q−1)=β(p,e)∧β(qq−1,eq−1)≥β(p,e)∧β(q,e)=δ(p)∧δ(q). |
This implies that δ(pq)≥δ(p)∧δ(q). Using fuzzy symmetry,
δ(p−1)=β(p−1,e)=β(ep−1,pp−1)≥β(e,p)=β(p,e)=δ(p). |
This implies that δ(p−1)≥δ(p). Replacing p−1 by p we get δ(p)≥δ(p−1). This implies that δ(p−1)=δ(p). Therefore, δ∈F(G). For fuzzy normality we have
δ((pq)p−1)=β((pq)p−1,e)=β((qp)p−1,pp−1)≥β(qp,p)=β(qp,ep)≥β(q,e)=δ(q). |
This implies that δ((pq)p−1)≥δ(q). Therefore, by Theorem 2.1 we get δ∈FN(G).
Theorem 9. Show that the set of all fuzzy congruences on G is semilattice.
Proof. Let β,γ∈FC(G) and for any p,q∈G. Then
(β∘γ)(p,q)=maxr∈G(β(p,r)∧γ(r,q))=maxr∈G(γ(r,q)∧β(p,r))=maxr∈G(γ(er,(rr−1)q)∧β((rr−1)p,er))=maxr∈G(γ(er,(qr−1)r)∧β((pr−1)r,er))≥maxr∈G(γ(e,qr−1)∧β((pr−1),e))=maxr∈G(γ(pp−1,(p−1p)(qr−1))∧β((q−1q)(pr−1),qq−1))=maxr∈G(γ(pp−1,((qr−1)p)p−1)∧β(((pr−1)q)q−1,qq−1))≥maxr∈G(γ(p,(qr−1)p)∧β((pr−1)q,q))=maxr∈G(γ(p,(pr−1)q)∧β((pr−1)q,q))=(γ∘β)(p,q). |
This implies that (β∘γ)≥(γ∘β). Similarly, (γ∘β)≥(β∘γ). Thus, (β∘γ)=(γ∘β), and by Theorem 4, β∘γ∈FC(G). On the other hand,
(β∘β)(p,q)=∨r∈G{β(p,r)∧β(r,q)}≥(β(p,p)∧β(p,q))=1∧β(p,q)=β(p,q). |
This implies that β∘β≥β. As β∈FC(G) therefore, β∘β≤β. Thus β∘β=β. Hence, FC(G) is semilattice.
Now in the following section fuzzy factor AG-group are discussed and find out the application of fuzzy factor AG-group and provided fuzzy homomorphism theorem of fuzzy AG-groups.
Theorem 10. Show that there exists one-to-one correspondence between FN(G) and FC(G).
Proof. The proof follows from Theorem 5.2.10 [31].
Definition 2. Let ρ be a binary relation on G, then the characteristic function represented by χρ and defined by:
χρ(s,t)={1if (s,t)∈ρ,0if (s,t)∉ρ. |
Lemma 3. A relation ρ on G is an equivalence ⇔χρ is a fuzzy equivalence.
Proof. Assume that χρ is fuzzy equivalence. Therefore, by Definition 2, χρ(p,p)=1⇒(p,p)∈ρ⇒ρ is reflexive. Let (p,q)∈ρ⇒χρ(p,q)=1⇒χρ(q,p)=1⇒(q,p)∈ρ⇒ρ is symmetric. Also let (p,r) and (r,q)∈ρ⇒(χρ∘χρ)(p,q)=maxr∈G(χρ(p,r)∧χρ(r,q))=1⇒(p,q)∈ρ⇒ρ is transitive. Therefore ρ is a equivalence relation.
Conversely, consider ρ is an equivalence, then by Definition 2, χρ(p,p)=1, as (p,p)∈ρ. Also χρ(p,q)=1=χρ(q,p), as (p,q)∈ρ⇒(q,p)∈ρ∀p,q∈G, and
(χρ∘χρ)(p,q)=maxr∈G(χρ(p,r)∧χρ(r,q))=1∧1=1=χρ(p,q), |
as (p,r)∈ρ and (r,q)∈ρ⇒(q,p)∈ρ∀p,q,r∈G. This implies that χρ∘χρ≤χρ. Hence, χρ is a fuzzy equivalence relation.
Theorem 11. Any binary relation ρ on G is a congruence if and only if χρ is a fuzzy congruence.
Proof. Consider ρ∈FC(G). As ρ is an equivalence, therefore, by Lemma 3 χρ is fuzzy equivalence. Now for fuzzy compatibility let (p,q)∈ρ⇒(pr,qr)∈ρ and (rp,rq)∈ρ∀p,q,r∈G. If (p,q)∉ρ, then
χρ(pr,qr)≥0=χρ(p,q), |
and
χρ(rp,rq)≥0=χρ(p,q). |
Therefore, χρ∈FC(G) on G.
Conversely, let χρ∈FC(G). Therefore, by Lemma 3, ρ is an equivalence as χρ is fuzzy equivalence. For compatibility of ρ, let (p,q)∈ρ⇒χρ(rp,rq)≥χρ(p,q)=1, and χρ(pr,qr)≥χρ(p,q)=1. Therefore, χρ(rp,rq)=1 and χρ(pr,qr)=1⇒(pr,qr)∈ρ and (rp,rq)∈ρ. Hence, ρ is a congruence on G.
Definition 3. Let β be a fuzzy equivalence relation on G. If a fuzzy set βu on G, is defined by:
βu(p)=β(u,p)∀u,p∈G, |
is called fuzzy equivalence class of β containing u∈G.
Theorem 12. For any fuzzy equivalence relation β on G, βu=βv⇔β(u,v)=1∀u,v∈G.
Proof. For any fuzzy equivalence relation β on G, assume that βu=βv, to show that β(u,v)=1. By Definition 3, β(u,v)=βu(v)=βv(v)=β(v,v)=1; which is required result.
Conversely, consider β(u,v)=1. Then, ∀p∈G,
βu(p)=β(u,p)≥(β∘β)(u,p)=∨r∈G(β(u,r)∧β(r,p))≥(β(u,v)∧β(v,p))=1∧β(v,p)=β(v,p)=βv(p)⇒βu≥βv, |
now β(v,u)=β(u,v)=1, as β is symmetric. Thus, βv≥βu. Hence, βu=βv.
Theorem 13. Let β∈FC(G). Then, the set Gβ={βa:a∈G} forms an AG-group under "⋆'' defined by βa⋆βb=βab for all βa,βb∈Gβ.
Proof. Let β∈FC(G). To show that the binary operation "⋆'' is well-defined on Gβ. Consider, βa=βb and βc=βd. Then by Theorem 3, we have β(a,b)=β(c,d)=1. Thus, β(ac,bd)≥(β∘β)(ac,bd)=maxe∈G(β(ac,e)∧β(e,bd))≥β(ac,bc)∧β(bc,bd)≥β(a,b)∧β(c,d)=1∧1=1⇒β(ac,bd)=1. Thus by Theorem 3, we get
βa⋆βc=βac=βbd=βb⋆βd. |
Hence, "⋆'' is well-defined on Gβ. To show that Gβ is an AG-group under "⋆''. Clearly, "⋆'' is closed in Gβ. Thus, Gβ is a groupoid. Left invertive law under "⋆'' also hold in Gβ. That is, for all a,b,c∈G, we have (βa⋆βb)⋆βc=βab⋆βc=β(ab)c=β(cb)a=β(cb)⋆βa=(βc⋆βb)⋆βa. Hence, Gβ is an AG-groupoid. Gβ under "⋆'' is non-associative as: (βa⋆βb)⋆βc=βab⋆βc=β(ab)c≠βa(bc)=βa⋆β(bc)=βa⋆(βb⋆βc). For all a∈G, (βe⋆βa)=βea=βa, but (βa⋆βe)=βae≠βa. Thus, βe is the left identity of Gβ. Thus ∀βa∈Gβ∃βa−1∈Gβ∋(βa⋆βa−1)=βaa−1=βe=β(a−1a)=(βa−1⋆βa). Hence, Gβ is an AG-group.
Thus an AG-group Gβ, defined in the above Theorem 13, is known as fuzzy quotient AG-group.
Theorem 14. Let β∈FC(G). Then, β−1(1)={(a,b)∈G×G:β(a,b)=1} is congruence on G.
Proof. The proof follows from Theorem 5.3.4 [31].
Using Definition 1, and Theorem 11, it is clear that χker(ϕ) is fuzzy congruence. Keeping in view this, we define the fuzzy kernel of ϕ as follow:
χker(ϕ)(s,t)={1if ϕ(s)=ϕ(t),0if ϕ(s)≠ϕ(t). | (4.1) |
Theorem 15. If ϕ:G→G′ be a onto homomorphism on G, then Gχker(ϕ)≅G′.
Proof. Let ψ:Gχker(ϕ)→G′, defined by ψ(χker(ϕ)(g))=ϕ(g). First we show that the mapping is well-defined. Let χker(ϕ)(g1)=χker(ϕ)(g2), then by Theorem 12, χker(ϕ)(g1,g2)=1. Using Equation (4.1), we get ϕ(g1)=ϕ(g2)⇒ψ(χker(ϕ)(g1))=ψ(χker(ϕ)(g2)). This shows that ψ is well-defined. To see that ψ is one-to-one, let ϕ(g1)=ϕ(g2). Then by Definition 1, (g1,g2)∈Ker(ϕ). Using Equation (4.1), we get χker(ϕ)(g1,g2)=1. Hence by Theorem 12, χker(ϕ)(g1)=χker(ϕ)(g2). Thus ψ is one-to-one mapping. At the end we show that ψ is a homomorphism on G. Take ψ[(χker(ϕ)(g1))⋆(χker(ϕ)(g2))]=ψ(χker(ϕ)(g1g2))=ϕ(g1g2)=ϕ(g1)⋅ϕ(g2)=ψ(χker(ϕ)(g1))⋅ψ(χker(ϕ)(g2)). As, ψ is a bijective homomorphism, therefore, Gχker(ϕ)≅G′.
In this paper, a relation on AG-group particularly congruence relation and fuzzy congruence relation on AG-group are provided with suitable examples. Moreover, various results on and fuzzy congruences on AG-groups are explored in the detailed. Further, we prove in the article that fuzzy-congruences and fuzzy normal subetaoups imply each other, and each fuzzy-congruences in AG-group are a semilattice. We introduce fuzzy equivalence classes on AG-groups and fuzzy quotient AG-group. We also show fuzzy equivalence classes on AG-groups form an equivalence relation. In the end, some applications of fuzzy congruences in the form of fuzzy homomorphism theorems are also provided. However, AG-groups still needed further attention. In future, the idea can be further extended to fuzzy congruences in rings, near rings and near LA-rings.
The authors would like to thank the anonymous referees for their careful reading of our manuscript and their many insightful comments and suggestions.
This research was financially supported by Ministry of Education Malaysia under the FRGS grant with Project Number: FRGS/1/2018/STG06/UPM/02/6 and Universiti Putra Malaysia.
The authors declare that they have no competing interests concerning the publication of this article.
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