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Some quotients on a Bck-algebra generated by a fuzzy set

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Abstract

First we show that the cosets of a fuzzy idea µ in a BCK-algebra X form another BCK-algebra X µ (called the fuzzy quotient BCK-algebra of X by µ). Also we show that X µ is a fuzzy partition of X, and prove several some isomorphism theorems. Moreover we prove that if the associated fuzzy similarity relation of a fuzzy partition P of a commutative BCK-algebra is compatible, then P is a fuzzy quotient BCK-algebra. Finally we define the notion of a coset of a fuzzy ideal and an element of a BCK-algebra and prove related theorems.
Iranian Journal of Fuzzy Systems Vol. 1, No. 2, (2004) pp. 69-84 69
SOME QUOTIENTS ON A BCK-ALGEBRA GENERATED BY A
FUZZY SET
A. HASANKHANI AND H. SAADAT
Abstract. First we show that the cosets of a fuzzy idea µin a BCK-algebra
Xform another BCK-algebra X
µ(called the fuzzy quotient BCK-algebra of
Xby µ). Also we show that X
µis a fuzzy partition of X, and prove several
some isomorphism theorems. Moreover we prove that if the associated fuzzy
similarity relation of a fuzzy partition Pof a commutative BCK-algebra is
compatible, then Pis a fuzzy quotient BCK-algebra. Finally we define the
notion of a coset of a fuzzy ideal and an element of a BCK-algebra and prove
related theorems.
1. Introduction
In 1966, the notion of a BCK-algebra was introduced by Y. Imai and K. Iseki
[3]. Zadeh in 1965 [13] introduced the notion of fuzzy subset of a nonempty set A
as a function from Ato [0,1]. Ougen Xi extended these ideas to BCK-algebra [11].
In this paper the notions of fuzzy quotient BCK-algebra induced by fuzzy ideals,
and the concept of a quotient algebra of a BCK-algebra, generated by a fuzzy ideal
and an element are defined and then related theorems are proved.
2. Preliminaries
Definition 2.1. [3, 6] (a) A BCK-algebra is a nonempty set Xwith a binary
operation ”*” and a constant 0 satisfying the following axioms:
(i) ((xy)(xz)) (zy) = 0
(ii) (x(xy)) y= 0
(iii)xx= 0
(iv)xy= 0 and yx= 0 imply that x=y
(v) 0 x= 0 ,forall x, y , z X·
(b) A nonempty set Aof a BCK-algebra is said to be an ideal of Xif the following
conditions hold:
(i) 0 A
(ii)xX , y xAimply that yA , forall yX
(c) A BCK-algebra Xis said to be commutative if x(xy) = y(yx), for all
x, y X.x(xy) is denoted by xy
Received: June 2003; Accepted: November 2003
Key words and Phrases: Fuzzy similarity relations, Fuzzy partitions, Fuzzy quotient, Fuzzy
ideal, cosets, quotient algebra.
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70 A. Hasankhani and H. Saadat
Lemma 2.2. [7] Let Xbe a BCK-algebra. Then,
(i)x0 = x , xX
(ii) [(y1x)(y2x)] (y1y2) = 0 ,x, y1, y2X
(iii) (xy)z= (xz)y , x, y, z X
(iv) (xy)x= 0 x, y X
(v) (xy)x= (xy)y , x, y X
Definition 2.3. [9, 13] (i) For r[0,1] fuzzy point xris defined to be fuzzy subset
of Xsuch that
xr(y) = rif y=x
0 if y6=x
(ii) If µ,ηare two fuzzy subsets of X. Then
µηµ(x)η(x),xX
Definition 2.4. [11] A fuzzy sunset µof a BCK-algebra Xis a fuzzy ideal if it
satisfies
(i)µ(0) = 1 ,xX
(ii)µ(x)min{µ(xy), µ(y)},x, y X
Lemma 2.5. [2] Let Xbe a BCK-algebra and µa fuzzy ideal of X. Then
(i)µ(xy)min{µ(xz), µ(y)(zy)},x, y, z X
(ii)if xy= 0 then µ(x)µ(y),x, y X·
Definition 2.6. Let µbe a fuzzy subset of Xand α[0,1]. Then by a level subset
µαof µwe mean the set {xX:µ(x)α}.
Definition 2.7. Let Xand Ybe two sets, and fa function of Xinto Y. Let µ
and ηbe fuzzy subsets of Xand Y, respectively. Then f(µ) the image of µunder
f, is a fuzzy subset of Y:
f(µ)(y) = (sup
f(x)=y
µ(x) if f1(y)6= Φ
0 if f1(y) = Φ ,
for all yY,f1(η) the pre-image of ηunder f, is a fuzzy subset of Xsuch that
f1(η)(x) = η(f(x)) ,xX·
Lemma 2.8. [11] (i)Let µbe a fuzzy ideal of BCK-algebra X. For all α[0,1],
if µα6= Φ, then µαis an ideal of X.
(ii)Let f:XX0be an epimorphism of BCK-algebra and µ0a fuzzy ideal of X0.
Then f1(µ0)is a fuzzy ideal of X.
Definition 2.9. [10] Let Xbe a nonempty set and Ra fuzzy subset of X×X.
Then Ris called a fuzzy similarity relation on Xif
(i)R(x, x) = 1 ,xX
(ii)R(x, y) = R(y, x)
(iii)R(x, z)min{R(x, y), R(y, z)} ·
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Some Quotients on a BCK-algebra Generated by a Fuzzy set 71
Definition 2.10. [8, 10, 12] A fuzzy partition of a set Xis a subset Pof [0,1]X
whose members satisfy the following conditions:
(i) Every NPis normalized; i.e.N(x) = 1, for at least one NX;
(ii) For each xX, there is exactly one NPwith N(x) = 1;
(iii) If M, N Pand, x, y Xare such that M(x) = N(y) = 1, Then
M(y) = N(x) = sup{min{M(z), N (z)}:zX} ·
Given a fuzzy partition Pof Xand element xX, we denote the unique element
of Pwith value 1 at xby [x]p. It is called the fuzzy similarity class of x.
Lemma 2.11. [10, 12] A canonical one-to-one correspondence between fuzzy par-
tition and fuzzy similarity relations is defined by sending a fuzzy partition Pof X
to its fuzzy similarity relation RP[0,1]X×X, where for all x, y X, we have
RP(x, y) = [x]P(y).
The inverse correspondence is defined by sending a fuzzy similarity relation R
on Xto its fuzzy partition PR[0,1]Xgiven by PR={Rhxi:xX}, where
Rhxiis the fuzzy subset of Xdefined for all yXby Rhxi(y) = R(x, y).
Lemma 2.12. [10] Let Rbe a fuzzy similarity relation on X, and a, b X. Then
Rhai=Rhbi ⇔ R(a, b) = 1 ·
Definition 2.13. Let Xand X0be general sets, f:XX0a function, and µ
a fuzzy subset of X, If f(x) = f(y) implies that µ(x) = µ(y), then µis called
f-invariant.
Theorem 2.14. [4] Let Abe an ideal of X. The relation Aon Xis defined by
xAyxyA , y xA·
i)The relation Ais an equivalence relation.
ii)Let Cxbe the equivalence class of xand X
A={Cx:xX}.
Then (X
A, o, Co), is a BCK-algebra where Cxocy=Cxy,x, y X.
Definition 2.15. [7] A BCK-algebra Xis called bounded if there is an element 1
of Xsuch that x1 = 0 for all xX.
Lemma 2.16. [7] Let Xbe a bounded and commutative BCK-algebra then
(i) (xy)z=x(yz)for all x, y, z X
(ii)x1 = 1 x=x
Definition 2.17. [1] A fuzzy ideal µof a BCK-algebra Xis said to be prime if:
µ(xy) = µ(x) or µ(xy) = µ(y),for all x, y X·
3. Fuzzy cosets
From now on, Xis a BCK-algebra and µis a fuzzy ideal of X.
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72 A. Hasankhani and H. Saadat
Definition 3.1. Let xX. Then the fuzzy subset µxwhich is defined by
µx(y) = min{µ(xy), µ(yx)}
is called a fuzzy coset of µ. The set of all fuzzy cosets of µis denoted by X
µ.
Lemma 3.2. Let µbe a fuzzy relation on Xwhich is defined by
µ(x, y) = µx(y),x, y X·
Then µis a fuzzy similarity relation on X.
Proof. Clearly the conditions (i) and (ii) of Definition 2.9 hold. Now by Lemma
2.5 (i), for all x, y, z X,
µ(xz)min{µ(xy), µ(yz)}, µ(zx)min{µ(zy), µ(yx)}
Therefore the condition (iii) of Definition 2.9 holds.
Remark 3.3. Clearly µhxi=µx,xX.
Lemma 3.4. Let x, y1, y2Xand µy1=µy2. Then
µxy1=µxy2, µy1x=µy2x
Proof. Since µy1=µy2, then by Lemma 2.12, we get that µ(y1y2) = µ(y2y1) = 1.
On the other hand, from Definition 2.1 (a) (i) and Lemma 2.5 (ii) we obtain that:
µ((xy1)(xy2)) µ(y2y1)·
Thus µ((xy1)(xy2)) = 1. Similarly µ((xy2)(xy1)) = 1.
Consequently µ(xy1, xy2) = 1 and hence by Remark 3.3 and Lemma 2.12 we have
µxy1=µxy2. Similarly, by Lemma 2.2 (ii) we can show that µy1x=µy2x.
Lemma 3.5. Let x, y, x0, y0X, µx=µx0and µy=µy0. Then µxy=µx0y0.
Proof. By Lemma 3.4 µxy=µx0yand µx0y=µx0y0. Therefore µxy=µx0y0.
Theorem 3.6. (X
µ, O, µ0)is a BCK-algebra where
O:X
µ×X
µX
µ
(µx, µy)7→ µxy·
Proof. The proof follows from Lemma 3.5.
Theorem 3.7. X
µis a fuzzy partition of X.
Proof. The proof follows from Lemmas 3.2 and 2.11.
Theorem 3.8. There exists an ideal Kof X
µsuch that
(X
µ)
K'X
µα
for all α[0,1].
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Some Quotients on a BCK-algebra Generated by a Fuzzy set 73
Proof. Let α[0,1]. By Lemma 2.8 (i), µαis an ideal of X. Define ϕ:X
µX
µα
by ϕ(µx) = Cxfor all xX. If µx=µy, then by Lemma 2.12 µ(x, y) = 1 and
hence µ(xy) = µ(yx) = 1 α, which implies that xyµαand yxµα.
hence Cx=Cy. Thus ϕis well-defined. Clearly ϕis an epimorphism. Now let
K=Kerϕ. The theorem is proved.
Definition 3.9. By µ, we mean the set {xX:µ(x)=1}. Clearly µis an
ideal of X.
Theorem 3.10. X
µ'X
µ.
Proof. It is enough to show that the epimorphism ϕ, defined in the proof of theorem
3.8, is one-to-one. To do this, Let Cx, CyX
µbe such that Cx=Cyfor x, y X.
Then xyµand yxµ. In other words, µ(xy) = µ(yx) = 1 and hence
by Remark 3.3 and Lemmas 2.12 and 3.2, µx=µy.
Theorem 3.11. Let fbe a BCK-homomorphism from Xonto X0and µan f-
invariant fuzzy ideal of Xsuch that µKerf . Then X
µ'X0.
Proof. Define g:X
µX0by g(µx) = f(x). By Lemmas 2.12 and 3.2, we have for
all x, x0X
µx=µx0xx0, x0xµxx0, x0xKerf f(x) = f(x0)
Therefore gis well-defined. Clearly gis an epimorphism.
Now let µxKerg. Then f(x) = f(0) = 0. Since µis f-invariant, hence µ(x) =
µ(0). From Definition 2.1 (a) (v) and Lemma 2.2 (i) we obtain that µ(x0) =
µ(0 x) = µ(0) = 1.
Hence, µ(x, 0) = 1, which implies that µx=µ0, by Lemma 2.12. Thus Kerg =
{µ0}, and hence gis one-to-one.
Theorem 3.12. Let fbe a BCK-homomorphism from Xonto X0and µ=Kerf .
Then X
µ'X0·
Proof. Since X
Kerf 'X0, we conclude that X
µ'X0. Also by theorem 3.10
X
µ'X
µ. Thus X
µ
=X0.
Lemma 3.13. Let Qµ:XX
µbe a function defined by Qµ(x) = µx. Then
(i) 0 Qµis an epimorphism
(ii)if µ=χ{0}, then Qµis an isomorphism. in other words,
X'X
µ
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74 A. Hasankhani and H. Saadat
Proof. (i) The proof is easy.
(ii) If µx=µy, for x, y X, then µ(xy) = µ(yx) = 1. Thus xy=yx= 0.
Hence x=y, therefore Qµis one-to-one.
Theorem 3.14. Let fbe a BCK-homomorphism from Xinto X0,µa fuzzy ideal
of Xand µ0a fuzzy ideal of X0such f(µ)µ0. Then there is a homomorphism
of BCK-algebras f:X
µX0
µ0such that fQµ=Qµ0f. In another words, the
following diagram is commutative.
Xf
X0
QµQµ0
X
µ
fX0
µ0
Proof. Define f:X
µX0
µ0by f(µx) = µ0
f(x). At first we show that fis well-
defined. To do this let µx1=µx2. Then by Lemma 2.12 µ(x1, x2) = 1, and hence
µ(x1x2) = µ(x2x1) = 1. Now we have
µ0(f(x1)f(x2)) = µ0(f(x1x2))
=f1(µ0)(x1x2)
µ(x1x2),since f(µ)µ0
= 1 ·
Similarly µ0(f(x2)f(x1)) = 1, thus µ0
f(x1)=µ0
f(x2)by Lemma 2.12. It is easily
seen that fis a homomorphism and fQµ=Qµ0f.
Theorem 3.15. (Isomorphism theorem) Let f:XX0be an epimorphism of
BCK-algebras, and µ0a fuzzy ideal of X0. Then
X
f1(µ0)'X0
µ0·
Proof. By Lemma 2.8 (ii), µ=f1(µ0) is a fuzzy ideal of X. Since fis onto, then
f(µ) = f(f1(µ0)) = µ0·
By Theorem 3.14, the mapping fis a homomorphism. Clearly fis onto. To
show that fis one-to-one, suppose that µaKerf , for aXthen we have
µ0
0=f(µa) = µ0
f(a)it follows that µ0(f(a)0) = 1. In other words µ0(f(a)) = 1.
Hence µ(a0) = µ(a) = (f1(µ0))(a) = µ0(f(a)) = 1. On the other hand 1 =
µ(0) = µ(0 a). Consequently µa=µ0. This completes the proof.
Corollary 3.16. (Homomorphism Theorem). Let f:XX0be an epimorphism
of BCK-algebras. Then X
f1(χ{0})'X0.
Proof. The proof follows from Theorem 3.15 and Lemma 3.13 (ii).
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Some Quotients on a BCK-algebra Generated by a Fuzzy set 75
Definition 3.17. A fuzzy similarity relation Ron Xis said to be compatible if for
each x, y, z Xwe have:
R(xz, y z)R(x, y) and R(zx, z y)R(x, y)
Theorem 3.18. Let Rbe a compatible fuzzy similarity on X. Then Rh0iis a fuzzy
ideal of X.
Proof. Clearly Rh0i(0) = 1. Now let x, y Xwe have
Rh0i(x) = R(0, x)min{R(0, x y), R(xy , x)},by Definition 2.9·(iii)
= min{R(0, x y), R(xy , x 0)}by Lemma 2.2(i)
min{R(0, x y), R(y , 0)}by Definition 3.17
= min{Rh0i(xy), Rh0i(y)} ·
Theorem 3.19. Let Xbe a commulative BCK-algebra, Pa fuzzy partition of X
such that its fuzzy similarity RP(see Lemma 2.11) is compatible. Then X
RPh0i=P.
Proof. For simplicity of notation, we will denote RPh0iby η. At first we show that
PX
η. To do this, let MP. Then by Definition 2.10 (i) there exists xX
such that M(x) = 1. On the other hand, for all yX, [y]P(y) = 1. Thus by
Definition 2.1- (iii) and 3.17 we have:
M(y) = [y]P(x) = RP(x, y) = RP(y, x)RP(yy , x y) = RP(0, x y),
and also
M(y) = Rp(x, y)Rp(xx, y x) = RP(0, y x)·
Therefore
(1) M(y)ηx(y),yX·
On the other hand we obtain that
ηx(y)RP(0, x y)RP(x0, x (xy)) = RP(x, x (xy))
and
ηx(y)RP(0, y x)RP(y0, y (yx)) = RP(y, y (yx)) ·
Since Xis commutative, it follows that
ηx(y)min{RP(x, x y), RP(xy, y)} ≤ RP(x, y)
Hence
(2) ηx(y)RP(x, y) = [y]P(x) = M(y),yX·
From (1) and (2) we obtain that
M=ηx,xX·
Thus
(3) PX
η·
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76 A. Hasankhani and H. Saadat
Now let ηxX
η. Then by Definition 2.10 (ii), there exists NPsuch that
N(x) = 1. As we have proved, N=ηx, which implies that
(4) X
ηP·
Now the proof follows from (3) and (4).
4. Cosets of a BCK-algebra generated by a fuzzy ideal and an element
Definition 4.1. Let aX. We define the relation ”a” on Xas follows.
xayµ(xy)µ(a), µ(yx)µ(a) for all x, y X
Theorem 4.2. xayis an equivalence relation on X.
Proof. By Definition 2.1 and 2.4 (i), ”a” is reflexive and clearly ”a” is symmetric.
Now we prove that ”a” is transitive. To do this let x, y, z X,xayand yaz.
Then we have
µ((xz)(xy)) min{µ(((xz)(xy)) (yz)), µ(yz)}
by Definition 2.4(ii)
= min{µ(0), µ(yz)},by Definition 2.1(i)
=µ(yz),by Definition 2.1(i)
µ(a),since yaz·.
Hence:
µ(xz)min{µ((xz)(xy)), µ(xy)}
= min{µ(0), µ(a)},since xay
Therefor
µ(xz)µ(a)·
Similarly by Lemma 2.2 (ii), we can show that
µ(zx)µ(a)·
Hence xaz.
Definition 4.3. Let aX. For xX, the equivalence class of xwith respect to
a” is denoted by Cx(a, µ) and it is called the coset of xin Xand generated by
aand µ.
Remark 4.4. The set of all cosets generated by aand µis denoted by CX(a, µ).
Corollary 4.5. CX(a, µ)is a partition for X.
Proposition 4.6. Let a, x X. Then aCx(a, µ)if and only if
Cx(a, µ) = C0(a, µ)·
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Some Quotients on a BCK-algebra Generated by a Fuzzy set 77
Proof. Let Cx(a, µ) = C0(a, µ). By Definition 2.1 (iv) and Lemma 2.2. (i) it follows
that aC0(a, µ). Hence aCx(a, µ). Conversely, let aCx(a, µ). Then we have
µ(x0) = µ(x)min{µ(xa), µ(a)} ≥ µ(a)·
On the other hand
µ(0 x) = µ(0) µ(a)·
Hence 0 ax, therefore C0(a, µ) = Cx(a, µ).
Proposition 4.7. For all x, y, a X,xy, y xC0(a, µ)if and only if
Cx(a, µ) = Cy(a, µ)·
Proof. The proof follows from Definition 2.1 (iii) and Lemma 2.2. (i).
Proposition 4.8. yCx(0, µ)implies that µ(x) = µ(y).
Proof. The proof follows from Lemma 2.5 (ii), and Definition 2.4 (ii).
Proposition 4.9. For aX,C0(a, µ)is a subalgebra and an ideal of X.
Proof. Let x, y C0(a, µ). Then by Lemma 2.2 (iv) and 2.5 (ii) we have µ(xy)
µ(x)µ(a) and µ(yx)µ(y)µ(a). Since
µ((xy)0) = µ(xy), µ((yx)0) = µ(yx),
hence xyC0(a, µ). Therefore C0(a, µ) is a subalgebra of X. From Definition
2.5 and some calculation we get that, C0(a, µ) is an ideal of X.
Lemma 4.10. For all x, a, b X,
(i) Cx(ab, µ)Cx(a, µ)Cx(b, µ),
(ii) if µis a fuzzy prime ideal of X, then Cx(ab, µ) = Cx(a, µ)Cx(b, µ).
Proof. (i) From Lemma 2.2. (v) and 2.5 (ii) we can prove (i).
(ii) follows from Definition 2.17.
Theorem 4.11. Let Xbe a bounded, commutative BCK-algebra, µa fuzzy prime
ideal of X,xX, and Cx(X, µ) = {Cx(a, µ) : aX}. Define the operation ”.”
On Cx(X, µ)as follows: Cx(a, µ)·Cx(b, µ) = Cx(ab, µ). Then (Cx(X, µ),·)is a
monoid.
Proof. The proof follows from Lemmas 4.10 (ii) and 2.16 (ii).
Lemma 4.12. Let a, y1, y2Xand y1ay2. Then
xy1axy2and y1xay2x , for all xX·
Proof. Since y1ay2, we have µ(y1y2)µ(a) and µ(y2y1)µ(a). On the
other hand by Definition 2.1 (i) we get that
((xy1)(xy2)) (y2y1) = 0 ·
Hence from Definition 2.4.
µ((xy1)(xy2)) min{µ[((xy1)(xy2)) (y2y1)], µ(y2y1)}
min{µ(0), µ(a)},since y1ay2=µ(a)
=µ(a)·
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78 A. Hasankhani and H. Saadat
Similarly we have µ((xy2)(xy1)) µ(a). Consequently
xy1axy2
Similarly from Lemma 2.2 (ii) we get that y1xay2x.
Lemma 4.13. Let aX, We define :CX(a, µ)×CX(a, µ)CX(a, µ)as
follows
Cx(a, µ)Cy(a, µ) = Cxy(a, µ),x, y X·
Then is an operation on CX(a, µ).
Proof. Let Cx1(a, µ) = Cx2(a, µ) and Cy1(a, µ) = Cy2(a, µ). Then x1ax2and
y1ay2. Hence by Lemma 4.12 we have x1y1ax2y2. ALso y1ay2implies
that x1y1ax1y2. Therefore from Theorem 4.2 we have x1y1ax2y2. In
other words Cx1y1(a, µ) = Cx2y2(a, µ).
Theorem 4.14. Let aX. Then (CX(a, µ), C0(a, µ),)is a BCK-algebra called
the quotient algebra generated by µand a.
Proof. Clearly the axioms (i),(ii),(iii),(v) of Definition 2.1 hold. Now let
Cx(a, µ)Cy(a, µ) = Cy(a, µ)Cx(a, µ) = C0(a, µ)
Then
Cxy(a, µ) = C0(a, µ) = Cyx(a, µ)·
Hence by proposition 4.7 we have:
Cx(a, µ) = Cy(a, µ)·
Theorem 4.15. Let f:XX0be an epimorphism of BCK-algebras and µbe
f-invariant and µµ(a)Kerf , for aX. Then Cx(a, µ)'X0.
Proof. Define ψ:CX(a, µ)X0by, ψ(Cx(a, µ)) = f(x), for all xX.
Let Cx(a, µ) = Cy(a, µ), where x, y X. Then xy , y xµµ(a)Kerf .
Hence f(x) = f(y). In other words ψis well defined. Clearly ψis an epimorphism.
Now let f(x) = f(y), for x, y X. Then f(xy) = f(yx) = f(0).
Since µis f-invariant, we have
µ(xy) = µ(0) µ(a), µ(yx) = µ(0) µ(a)·
Therefore Cx(a, µ) = Cy(a, µ), which implies that ψis one-to-one.
References
[1] A Hasankhani, F-Spectrum of a BCK-algebra, J. Fuzzy Math. Vol. 8, No. 1(2000), 1-11.
[2] C.S. Hoo, Fuzzy ideal of BCI and MV-algebra, Fuzzy sets and Systems 62 (1994), 111-114.
[3] Y. Imai, K. Iseki, On axiom systems of propositional calculi, XIV. Proc. Jopan Academy, 42
(1966), 19-22.
[4] K. Iseki, On ideals in BCK-algebra, Math. Seminar Notes, 3(1975), Kobe University.
[5] K. Iseki, Some properties of BCK-algebra, 2 (1975), xxxv, these notes.
[6] K. Iseki, S.Tanaka, Ideal theory ob BCK-algebra, Math. Japonica, 21 (1976), 351-366.
[7] K. Iseki, S. Tanaka, An introduction to the theory of BCK-algrba, Math. Japonica, 23 (1978),
1-26.
Archive of SID
www.SID.ir
Some Quotients on a BCK-algebra Generated by a Fuzzy set 79
[8] V. Hohle, Quotients with respect to similarity relations, Fuzzy sets and systems 27 (1988),
31-44.
[9] W.J. Liu, Fuzzy invariant subgroups and fuzzy ideals, Fuzzy sets and Systems 8(1982), 133-
139.
[10] S. Ovchinnikov, Similarity relations, fuzzy partitions, and fuzzy ordering, Fuzzy sets and
system, 40 (1991), 107-126.
[11] O. Xi, Fuzzy BCK-algebra, Math. Japonica, 36 (1991), 935-942.
[12] L.A. Zadeh, Similarity relations and fuzzy ordering, Inform. Sci. 3(1971), 177-200.
[13] L.A. Zadeh, Fuzzy sets, Information and control, 8(1965), 338-353.
A. Hasankhani, Department of Mathematics, Shahid Bahonar University of Kerman,
Kerman, Iran
E-mail address:abhasan@mail.uk.ac.ir
H. Saadat, Islamic Azad University Science and Research Campus, Kerman, Iran
E-mail address:saadat@iauk.ac.ir
Corresponding author
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... It is now natural to consider similar style of generalizations of the existing fuzzy subsystems of other algebraic structures. For this reason, we decided to define and investigated these notions on hoop algebras, which we studied [20][21][22][23] for sources of inspiration and ideas for this paper. Definition 1. [24] Let (H, , →, 1) be a bounded hoop. ...
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