Research article

Fuzzy congruences on AG-group

  • Received: 25 August 2020 Accepted: 16 November 2020 Published: 30 November 2020
  • MSC : 14A22, 16S38

  • In this paper, we establish the idea of fuzzy congruences on Abel-Grassmann's group (AG-group). We investigate different outcomes of fuzzy-congruences on AG-groups in detail and give some examples to illustrate the newly established results. We develop the relation between fuzzy congruence and fuzzy normal subgroup. In the end, we also provide some results of fuzzy homomorphism on AG-groups.

    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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  • In this paper, we establish the idea of fuzzy congruences on Abel-Grassmann's group (AG-group). We investigate different outcomes of fuzzy-congruences on AG-groups in detail and give some examples to illustrate the newly established results. We develop the relation between fuzzy congruence and fuzzy normal subgroup. In the end, we also provide some results of fuzzy homomorphism on AG-groups.


    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=a2b2a,bG. Moreover, from an abelian group (G,) one can easily obtain an AG-group under "'' given by:

    st=ts1orst=s1t,

    for all s,tG [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)):xX,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:

    βγ(p,q)=maxrX(β(p,r)γ(r,q)).

    Therefore, a fuzzy relation on X is a fuzzy equivalence relation: if p,q,rX. i. β(p,p)=1 (fuzzy reflexive), ii. β(p,q)=β(q,p) (fuzzy symmetric) and iii. βββ (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,sS 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 βFP(G). Then β is a fuzzy AG-group on G if, for all s,tG, β(st)(β(s)β(t)) and β(s1)β(s) or β(st1)(β(s)β(t))s,tG. 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, νF(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, νF(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,γFP(G), then (βγ)(p)=(γβ)(pe)pG.

    (2) Let βF(G), then β(pq)=β(qp)p,qG.

    (3) Let βF(G), then, β(e)β(p), and β(p1)=β(p)pG.

    (4) Let βFP(G), then βF(G)βββ and β1=β.

    Let δF(G). If for any a,xG

    δ((ax)a1)=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 δF(G). The following are equivalent a,xG,

    (i) δ((ax)a1)=δ(x);

    (ii) δ((ax)a1)δ(x);

    (iii) δ((ax)a1)δ(x).

    Definition 1. Let ϕ:ST 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,ν2F(G). Then ν1ν2F(G).

    Proof. Let ν1ν2F(G). Using left invertive law we have

    (ν1ν2)(ν1ν2)=((ν1ν2)ν2)ν1=((ν2ν2)ν1)ν1=(ν1ν1)(ν2ν2)(ν1ν2).

    This implies that (ν1ν2)(ν1ν2)(ν1ν2). Also we have

    (ν1ν2)1(p)=(ν1ν2)(p1)=maxp1=st(ν1(s)ν2(t))=maxp=(st)1(ν1(s)ν2(t))=maxp=s1t1(ν1(s1)ν2(t1));ν1,ν2F(G)=(ν1ν2)(p).

    This implies that (ν1ν2)1=(ν1ν2). Hence, by the result stated above in (4), ν1ν2F(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, μFC(G).

    Lemma 1. Let β and γ be fuzzy compatible on G, then βγ is also fuzzy compatible on G.

    Proof. For any p,q,r,sG 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,

    (βγ)(pr,qs)==maxtG(β(pr,t)γ(t,qs))=maxt=uvG(β(pr,uv)γ(uv,qs))maxz=uvG[(β(p,u)β(r,v))(γ(u,q)γ(v,s))]=(maxuG(β(p,u)γ(u,q)))(maxvG(β(r,v)γ(v,s)))=(βγ)(p,q)(βγ)(r,s).

    This implies that (βγ)(pr,qs)((βγ)(p,q)(βγ)(r,s)). Hence, βγ 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 βFC(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,rG. Hence, β is fuzzy left and fuzzy right compatible.

    Conversely, consider β is fuzzy left and fuzzy right compatible, then p,q,u,vG,

    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, βFC(G).

    Theorem 3. If β,γFC(G) and βγ=γβ. Then βγFC(G).

    Proof. Consider β,γFC(G), such that βγ=γβ. First we show that βγ is an equivalence relation. Clearly, βγ(s,s)=1. For symmetry take any s,tG,

    (βγ)(s,t)=maxuG(β(s,u)γ(u,t))=maxuG(γ(u,t)β(s,u))=maxuG(γ(t,u)β(u,s));(β,γFC(G))=(γβ)(t,s)=(βγ)(t,s).

    βγ is fuzzy symmetric.

    Using medial law, we get (βγ)(βγ)=(ββ)(γγ)βγ. Therefore, βγ is an equivalence relation and by Lemma 1, βγ is compatible. Hence, βγFC(G).

    Corollary 1. Let β,γFC(G). If βγFC(G), then βγ=βγ.

    Proof. Consider βγFC(G) where β,γFC(G). To show that βγ=βγ, take any p,qG

    (βγ)(s,t)=maxuG(β(s,u)γ(u,t))β(s,t)γ(t,t)=β(s,t).

    This implies that βγβ. Similarly, βγγ. Now take δFC(G) such that δβ and δγ. Then,

    (βγ)(s,t)=maxuG(β(s,u)γ(u,t))maxuG(δ(s,u)δ(u,t))=δ(s,t).

    This implies that βγδ. Thus, βγ=βγ.

    Theorem 4. If β,γFC(G). Then show that the following conditions are equivalent:

    (1) βγ is a fuzzy congruence.

    (2) βγ is a fuzzy equivalence.

    (3) βγ is a fuzzy symmetric.

    (4) βγ=γβ.

    Proof. Obviously, (1)(2)(3).

    To show that (3)(4), take any p,qG,

    (βγ)(p,q)=rG(β(p,r)γ(r,q))=rG(γ(r,q)β(p,r))=rG(γ(q,r)β(r,p));(β,γFC(G))=(γβ)(q,p)=(γβ)(p,q).

    This implies that βγ=γβ.

    Now consider (4) holds. We show that βγFC(G). As (βγ)(p,p)=qG(β(p,q)γ(q,p))β(p,p)γ(p,p)=1, so that (βγ)(p,p)=1. Thus, βγ is fuzzy reflexive. Now for any p,qG, we have

    (βγ)(p,q)=(γβ)(p,q)=maxrG(γ(p,r)β(r,q))=maxrG(β(r,q)γ(p,r))=maxrG(β(q,r)γ(r,p));(β,γFC(G))=(βγ)(q,p).

    Thus, βγ is fuzzy symmetric. Using medial law and fuzzy transitivity we have,

    (βγ)(βγ)=((βγ)γ))β=((γγ)β)β=(ββ)(γγ)βγ.

    Therefore, βγ is a fuzzy equivalence relation on G. Compatibility follows by Lemma 1. Hence, βγFC(G).

    Theorem 5. If β,γFC(G). Then βγ=γβ.

    Proof. Let p,qG, then

    (βγ)(p,q)=maxrG(β(p,r)γ(r,q))=maxrG(γ(r,q)β(p,r))=maxr=(ps1)qG(γ((ps1)q,q)β(p,(ps1)q))=maxr=(ps1)qG(γ((ps1)q,eq)β(ep,(ps1)q))=maxr=(qs1)pG(γ((qs1)p,((ss1)q))β((ss1)p,(ps1)q))=maxr=(qs1)pG(γ((qs1)p,(qs1)s))β((ps1)s,(ps1)q))=maxsG(γ(up,us)β(vs,vq))maxsG(γ(p,s)β(s,q))=(γβ)(p,q).

    Similarly, we can show that γββγ. Hence, βγ=γβ.

    Theorem 6. Let βFC(G). Then β(u1,v1)=β(u,v)u,vG.

    Proof. For any u,vG,

    β(u1,v1)=β(eu1,ev1)=β((v1v)u1,(u1u)v1)=β((u1v)v1,(u1u)v1)β(u1v,u1u)β(v,u)=β(u,v);βFC(G).

    This implies β(u1,v1)β(u,v). Also,

    β(u,v)=β(v,u);βFC(G).=β((uu1)v,(vv1)u)=β((vu1)u,(vv1)u)β(vu1,vv1)β(u1,v1).

    This implies that β(u,v)β(u1,v1). Hence, β(u1,v1)=β(u,v)u,vG.

    Theorem 7. Let γFN(G). Define a fuzzy relation by β(p,q)=γ(pq1)p,qG. Then βFC(G).

    Proof. Consider γFN(G), and a fuzzy relation β defined by: β(p,q)=γ(pq1)p,qG. We show that βFC(G). Let pG. Since, β(p,p)=γ(pp1)=γ(e)=1, β is fuzzy reflexive. Let p,qG, then

    β(p,q)=γ(pq1)=γ((pq1)1);(γ(u1)=γ(u)uG)=γ(p1q)=γ(qp1);(γ(ab)=γ(ba)a,bG)=β(q,p),

    β is fuzzy symmetric. Let p,q,rG, then

    (ββ)(p,q)=rG{β(p,r)β(r,q)}=rG{γ(pr1)γ(rq1)}rG{γ((r1p)(rq1))}=γ(r1r)(pq1);(by medial law)=γ(e(pq1))=γ(pq1)=β(p,q).

    Therefore, β is fuzzy transitive as βββ. Hence, β is fuzzy equivalence on G. Since γFN(G). Therefore, for fuzzy compatibility, we have

    β(rp,rq)=γ((rp)(rq)1)=γ((rq)1(rp))=γ((r1q1)(rp))=γ((r1r)(q1p))=γ(e(q1p))γ(e)γ(q1p)=γ(q1p);(γ(e)=1)=γ(pq1)=β(p,q).

    This implies that β(rp,rq)β(p,q). Similarly, β(pr,qr)β(p,q). Hence, βFC(G).

    Theorem 8. Let βFC(G), for any fuzzy set δ of G defined by δ(p)=β(p,e)pG. Then δ is fuzzy normal.

    Proof. Since, βFC(G). Therefore, by fuzzy transitivity, for any p,qG, we have

    δ(pq)=β(pq,e)=β(pq,q1q)β(p,q1)(ββ)(p,q1)=rG(β(p,r)β(r,q1))β(p,e)β(e,q1)=β(p,e)β(qq1,eq1)β(p,e)β(q,e)=δ(p)δ(q).

    This implies that δ(pq)δ(p)δ(q). Using fuzzy symmetry,

    δ(p1)=β(p1,e)=β(ep1,pp1)β(e,p)=β(p,e)=δ(p).

    This implies that δ(p1)δ(p). Replacing p1 by p we get δ(p)δ(p1). This implies that δ(p1)=δ(p). Therefore, δF(G). For fuzzy normality we have

    δ((pq)p1)=β((pq)p1,e)=β((qp)p1,pp1)β(qp,p)=β(qp,ep)β(q,e)=δ(q).

    This implies that δ((pq)p1)δ(q). Therefore, by Theorem 2.1 we get δFN(G).

    Theorem 9. Show that the set of all fuzzy congruences on G is semilattice.

    Proof. Let β,γFC(G) and for any p,qG. Then

    (βγ)(p,q)=maxrG(β(p,r)γ(r,q))=maxrG(γ(r,q)β(p,r))=maxrG(γ(er,(rr1)q)β((rr1)p,er))=maxrG(γ(er,(qr1)r)β((pr1)r,er))maxrG(γ(e,qr1)β((pr1),e))=maxrG(γ(pp1,(p1p)(qr1))β((q1q)(pr1),qq1))=maxrG(γ(pp1,((qr1)p)p1)β(((pr1)q)q1,qq1))maxrG(γ(p,(qr1)p)β((pr1)q,q))=maxrG(γ(p,(pr1)q)β((pr1)q,q))=(γβ)(p,q).

    This implies that (βγ)(γβ). Similarly, (γβ)(βγ). Thus, (βγ)=(γβ), and by Theorem 4, βγFC(G). On the other hand,

    (ββ)(p,q)=rG{β(p,r)β(r,q)}(β(p,p)β(p,q))=1β(p,q)=β(p,q).

    This implies that βββ. As βFC(G) therefore, βββ. Thus ββ=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)ρρ is reflexive. Let (p,q)ρχρ(p,q)=1χρ(q,p)=1(q,p)ρρ is symmetric. Also let (p,r) and (r,q)ρ(χρχρ)(p,q)=maxrG(χρ(p,r)χρ(r,q))=1(p,q)ρρ 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)ρp,qG, and

    (χρχρ)(p,q)=maxrG(χρ(p,r)χρ(r,q))=11=1=χρ(p,q),

    as (p,r)ρ and (r,q)ρ(q,p)ρp,q,rG. This implies that χρχρχρ. 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 ρFC(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)ρp,q,rG. If (p,q)ρ, then

    χρ(pr,qr)0=χρ(p,q),

    and

    χρ(rp,rq)0=χρ(p,q).

    Therefore, χρFC(G) on G.

    Conversely, let χρFC(G). Therefore, by Lemma 3, ρ is an equivalence as χρ is fuzzy equivalence. For compatibility of ρ, let (p,q)ρχρ(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,pG,

    is called fuzzy equivalence class of β containing uG.

    Theorem 12. For any fuzzy equivalence relation β on G, βu=βvβ(u,v)=1u,vG.

    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, pG,

    βu(p)=β(u,p)(ββ)(u,p)=rG(β(u,r)β(r,p))(β(u,v)β(v,p))=1β(v,p)=β(v,p)=βv(p)βuβv,

    now β(v,u)=β(u,v)=1, as β is symmetric. Thus, βvβu. Hence, βu=βv.

    Theorem 13. Let βFC(G). Then, the set Gβ={βa:aG} forms an AG-group under "'' defined by βaβb=βab for all βa,βbGβ.

    Proof. Let βFC(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)(ββ)(ac,bd)=maxeG(β(ac,e)β(e,bd))β(ac,bc)β(bc,bd)β(a,b)β(c,d)=11=1β(ac,bd)=1. Thus by Theorem 3, we get

    βaβc=βac=βbd=βbβd.

    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,cG, we have (βaβb)βc=βabβc=β(ab)c=β(cb)a=β(cb)βa=(βcβb)βa. Hence, Gβ is an AG-groupoid. Gβ under "'' is non-associative as: (βaβb)βc=βabβc=β(ab)cβa(bc)=βaβ(bc)=βa(βbβc). For all aG, (βeβa)=βea=βa, but (βaβe)=βaeβa. Thus, βe is the left identity of Gβ. Thus βaGββa1Gβ(βaβa1)=βaa1=βe=β(a1a)=(βa1βa). 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 βFC(G). Then, β1(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:GG 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.



    [1] L. A. Zadeh, Fuzzy sets, Information and Control, 8 (1965), 338-353. doi: 10.1016/S0019-9958(65)90241-X
    [2] A. Rosenfeld, Fuzzy groups, J. Math. Anal. Appl., 35 (1971), 512-517. doi: 10.1016/0022-247X(71)90199-5
    [3] E. Sanchez, Resolution of composite fuzzy relation equations, Information and Control, 30 (1976), 38-48. doi: 10.1016/S0019-9958(76)90446-0
    [4] P. Bhattacharya, N. P. Mukherjee, Fuzzy relations and fuzzy groups, Information and Control, 36 (1985), 267-282.
    [5] N. P. Mukherjee, P. Bhattacharya, Fuzzy normal subgroups and fuzzy cosets, Information and Control, 34 (1984), 225-239.
    [6] W. C. Nemitz, Fuzzy relations and fuzzy functions, Fuzzy Set. Syst., 19 (1986), 177-191. doi: 10.1016/0165-0114(86)90036-9
    [7] H. Fan, J. Feng, M. Meng, B. Wanga, General decmposition of fuzzy relations: semi-tensor product appraoch, Fuzzy Set. Syst., 384 (2020), 75-90. doi: 10.1016/j.fss.2018.12.012
    [8] D. Cheng, J. Feng, H. Lv, Solving fuzzy relational equations via semitensor product, IEEE T. Fuzzy Syst., 20 (2012), 390-396. doi: 10.1109/TFUZZ.2011.2174243
    [9] V. Murali, Fuzzy equivalence relation, Fuzzy Set. Syst., 30 (1989), 155-163. doi: 10.1016/0165-0114(89)90077-8
    [10] N. Kuroki, Fuzzy congruence and fuzzy normal subgroups, Information and Control, 60 (1992), 247-259.
    [11] X. Zhou, D. Xiang, J. Zhan, A noval study fuzzy congruences on n-ray semigroups, UPB Scientific Bulletin, Series A: Applied Mathematics and Physics, 78 (2016), 19-30.
    [12] S. K. Shoar, Fuzzy normal congruences and fuzzy cosets relations on groups, International Journal of Pure and Applied Mathematics, 115 (2017), 211-224.
    [13] M. Shah, C. Gretton, V. Sorge, Enumerating AG-groups with a study of smarandache AG-groups, International Mathematical Forum, 6 (2011), 3079-3086.
    [14] M. S. Kamran, Conditions for LA-semigroups to resemble associative structures, Ph. D. Thesis, Quaid-i-Azam University, Islamabad, 1993.
    [15] Amanullah, A study of fuzzy AG-subgroups, Ph. D. Thesis, University of Malakand, Chakdara Dir L, Pakistan, 2016.
    [16] I. Ahmad, Amanullah, M. Shah, Fuzzy AG-Subgroups, Life Sci. J., 9 (2012), 3931-3936.
    [17] Amanullah, I. Ahmad, M. Shah, On the equal-height elements of fuzzy AG-subgroups, Life Science Journal, 10 (2013), 3143-3146.
    [18] Amanullah, I. Ahmad, F. Karaaslan, Cubic Abel-Grassmann's subgroups, J. Comput. Theor. Nanos., 13 (2016), 628-635. doi: 10.1166/jctn.2016.4852
    [19] F. Karaaslan, I. Ahmad, Amanullah, Bipolar soft groups, J. Intell. Fuzzy Syst., 31 (2016), 651-662. doi: 10.3233/IFS-162178
    [20] W. Khan, K. Hila, G. Chen, Sandwich sets and congruences in completely inverse AG*-groupoid, Italian Journal of Pure and Applied Mathematics, 39 (2018), 822-838.
    [21] W. Khan, G. Y. Chena, B. Davvaz, Fuzzy congruences on non-associative semigroups, J. Intell. Fuzzy Syst., 35 (2018), 3783-3796. doi: 10.3233/JIFS-18663
    [22] G. H. Hardy, E. M. Wright, An introduction to the theory of numbers, 5th edition, Oxford University Press, New York, 1979.
    [23] F. Guterl, Suddenly, Number theory makes sense to industry, Math Horizons, 2 (1994), 6-8. doi: 10.1080/10724117.1994.11974900
    [24] C. Ding, Chinese remainder theorem: applications in computing, coding, cryptography, World Scientific Publishing Company, 1996.
    [25] S. Y. Yan, Number theory for computing, Springer, 2002.
    [26] M. Schroeder, Number theory in science and communication: with applications in cryptography, physics, digital information, computing, and self-similarity, Springer, 2008.
    [27] M. K. Chakraborty, M. Das, Reduction of fuzzy strict order relations, Fuzzy Set. Syst., 15 (1985), 33-44. doi: 10.1016/0165-0114(85)90014-4
    [28] V. Murali, Fuzzy equivalence relations, Fuzzy Set. Syst., 30 (1989), 155-163. doi: 10.1016/0165-0114(89)90077-8
    [29] M. Samhan, Fuzzy congruence on semigroups, Information Sciences, 74 (1993), 165-175. doi: 10.1016/0020-0255(93)90132-6
    [30] J. M. Howie, An introduction to semigroup theory, Academic Press, London, 1976.
    [31] J. N. Mordeson, D. S. Malik, N. Kuroki, Fuzzy Semigroups, Springer-Verlag Berlin Heidelberg, 2003.
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