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N-Generated Fuzzy Groups and Its Level

Subgroups

Dr. M. Mary JansiRani1, B. Bakkiyalakshmi2, P. Sudhalakshmi3 1 .Head & Assistant professor, PG& Research Department of Mathematics,

Thanthai Hans Roever college of Arts & Science, Perambalur.

2&3. Research scholar, PG& Research Department of Mathematics,

Thanthai Hans Roever college of Arts & Science, Perambalur.

Abstract- In this paper, we define the algebraic structures of ngenerated fuzzy subgroups and some related properties are investigated. The purpose of this study is to implement the fuzzy set theory and group theory in ngenerated fuzzy subgroups. Characterizations of ngenerated level subsets of a ngenerated fuzzy subgroups of a group are given

Keywords- Fuzzy set, multi-fuzzy set, fuzzy subgroup, multi-fuzzy subgroup, anti-fuzzy subgroup, multi-anti fuzzy subgroup,ngenerated fuzzy subset, ngenerated fuzzy subgroups, ngenerated fuzzy level subsets,n-generated fuzzy level subgroups

1.INTRODUCTION

After the introduction of the concept of fuzzy sets by L.A.Zadeh [1], researchers were conducted the generalizations of the notion of fuzzy sets A. Rosenfeld [2] Introduced the concept of fuzzy group and the idea of “Intuitionistic Fuzzy set” was first published by K.T. Atanassov [3]. W.D.Blizard [4] Introduced the concept of fuzzy multi-set theory. Also Shinoj .T.K and Sunil Jacob [6] produced some results in Intuitionistic Fuzzy Multi-sets. In this chapter we define ngenerated fuzzy sets and n

generated fuzzy subgroups and some of their properties.

2. PRELIMINARIES

2.1Definition

Let X be a non-empty set. A fuzzy set A on X is a mappingA X: 

 

0,1 and is defined as

/ , ( )

AxX xx

2.2. Definition

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1( )

x f  y 2.3. Definition

Let X and Y be any two sets. Let f X: Y be a function. If S is a fuzzy set on Y then the preimage of S under f is a fuzzy set onX and is defined by

f1(S) ( )

xS f x

( )

2.4. Definition

Let A be a fuzzy subset of asetX. For t[0, 1], At

xX A x/ ( )t

is called a levelfuzzy subset of A

2.5. Definition

Let X be a non empty set. An Intuitionistic Fuzzy set A on X is an object having

the formA

x, ( ),x ( ) /x x X

A A

 

  , where :X

 

0,1 & :X

 

0,1

A A

    are the

degree of membership and non- membership functions respectively with 0A( )x A( ) 1x

2.6. Definition

Let X be a non-empty set. A Fuzzy Multi set (FMS) A drawn from X is characterized by a function „ Count membership‟ of A denoted by CMA such that CM :X Q

A  where Q is the set of all crisp finite set drawn from the unit interval

 

0,1 .Then for any xX , the

value CM ( )x

A is a crisp multi set drawn from

 

0,1 . For each xX , the membership sequence is defined as the decreasingly ordered sequence of elements in CMA( )x . It is

denoted by ( ), ( ),... ( )

1 2

x x x

A A A

k

  

where 1( ) 2( ) ... ( )

x x x

A A A

k

   

: ( ), ( )... ( ) :

1 2

A x x x x x X

A A A

k

  

 

   

 

 

 

Example 2.7

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2.8. Definition

Let X be a non- empty universal set and let A be an Fuzzy Multi set on X. The n-generated Fuzzy set on X is constructed from the Fuzzy Multi set and is defined as

1

, ( ) ( ) ... ( ) :

1 2

n n n

x x x x x X

A A A

k k

     

where ( ) ( ) ... ( )

1 2

n n n

x x x

A A Ak

    and n is the dimension of the Fuzzy Multi setA

2.9.Definition Multi-level subset

Let A be a multi-fuzzy subset of X. For

 

0,1 , 1, 2,..., ,

/ ( )

i

i t i

tik A  x X A xt is called multi-level subset of A

2.10. Definition Multi-Fuzzy Mapping

Let 

 1, 2,...,k

and  

 1, 2,...,k

be two multi-fuzzy sets in X of dimenstion k and n respectively. A multi-fuzzy mapping is a mapping

: k ( ) n ( )

F M FS XM FS X which maps each M FS Xk ( ) into a unique multi-fuzzy set ( )

n

M FS X



2.11. Definition Atanassov Intuitionistic Fuzzy Sets Generating Maps (AIFSGM)

A mapping 2

: k ( ) ( )

F M FS XM FS X is said to be an Atanassov Intuitionistic Fuzzy Sets Generating Maps(AIFSGM) if F( ) is an Intuitionistic fuzzy set in

2

( ) M FS X

2.12. Definition Multi-Fuzzy extensions of functions

Let f X: Y and :hMi  Lj be functions . The Multi-fuzzy extension and the inverse of the extension are f :MiX  LjY, f1:LjY  MiX defined by

1

( )( ) ( ) , ,

( )

X i

f A y Sup h A x A M y Y

x fy

  

 and

1 1

( )( ) ( ( ) , jY,

fB xhB f x BL xX where 1

h is the upper adjoint of h .

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2.13. Definition

Let X and Ybe any two sets. Let f X: Y be a function. If  is a ngenerated fuzzy set on X then the image of  under f is a ngenerated fuzzy set onY and is defined by  

1

( ) ( ) ( ),

( )

f y v y Sup x y Y

x f y

 

   

 is called image of  under f

2.14. Definition

Let X and Y be any two sets. Let f X: Y b a function. If  is an ngenerated fuzzy set on Y then the pre image of  under f is a ngenerated fuzzy set on X and is

defined f1( ) ( )  x 

f x( )

2.15. Definition:

Let  be an ngenerated fuzzy set onX. For t[0, 1], a level ngenerated fuzzy subset of t is defined by

t

 

x

X

/ ( )

x

t

2.16. Properties of n - generated fuzzy set

Let k be a positive integer and A and B be two fuzzy multi- sets of dimension kand if

 

, ;

G

Axx xX & BG

x, ( ) ; x

xX

 

1 1

, where ( ), ( ) ( )

1 1

k n k n

n N x i x x i x

ki ki

   

    

  Then

 

(1). AGBG   x ( )x

 

(2). AGBG   x ( )x

 

(3).AGBG

x

( )x

x, max

 

x , ( ) x

;xX

 

(4).AGBG  x ( )x

x

, min

 

x

, ( )

x

;

x

X

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2.17. Definition

Let G be a group. A fuzzy subset A of G is said to be a fuzzy subgroup of G if

( ). (

i A xy

)

min

A x A y

( ), ( )

(

1

)

( ).

ii A x

-

³

A x

( )

"

x y

,

Î

G

2.18 . Definition

Let G be a group. A fuzzy subset A of G is said to be an anti-fuzzy subgroup of G if (i). 𝐴 𝑥𝑦 ≤ 𝑚𝑎𝑥 𝐴 𝑥 , 𝐴(𝑦) , (ii). 𝐴 𝑥−1 = 𝐴 𝑥 ∀ 𝑥, 𝑦 ∈ G

2.19. Definition

Let G be a group. A multi-fuzzy subset A of G is said to be an multi-fuzzy

subgroup of G if ( ). (i A xy)min

A x A y( ), ( )

( ).ii A x

(

- 1

)

³ A x( ) " x y, Î G

2.20. Definition

Let G be a group. A multi-fuzzy subset A of G is said to bean multi-anti-fuzzy

subgroup of G if ( ). (i A xy) max

A x A y( ), ( )

( ). (ii A x-1)

=

A x( ) " x y, Î G

2.21. Definition

Let G be a group. A ngenerated fuzzy subset  of a group G is called a ngenerated fuzzy subgroup of G if

( ). (ixy)min ( ), ( )xy

 

1

( ).iix ( )xx y, G where

 

1 ( ), ( ) 1 ( )

1 1

k n k n

x i x y i y

ki ki

       

 

1

& ( ) ( )

1 k n

xy i xy

k i

   

 2.22. Definition

Let G be a group. An ngenerated fuzzy subset  of a group G is called an n generated anti- fuzzy subgroup of G if

( ). (ixy)max ( ), ( )xy

 

1

( ).iix ( )xx y, G

3. Properties of n-generated- Level Subsets of an n- generated Fuzzy subgroups

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Let  be a ngenerated fuzzy subgroup of a group G . For any

, ,.... ,..

1 2

t t t t

k

where ti[0,1] for all i , we define the n generated level subset of  as

  

; / ( )

LtxGxt

Theorem.3.2:

Let  be an ngenerated fuzzy subgroup of a group G . For any

, ,.... ,..

1 2

t t t t

k

 

where ti 0,1 for all i suchthat t( )e where ' 'e is the identity element of G ,

 

; is a subgroup of .

Lt G

Proof:

 

Let x y,  L ;t ( )xt and ( ) yt

 

1

Now,  xy Min ( ), ( )xy

Min ,

 

t t

 

1

xy t

 

 

 

1

; xyLt

 

 

; is a subgroup of .

Lt G

Theorem3.3:

Let G be a group and let  be an ngenerated fuzzy subset of a group G such that

 

;

Lt is a subgroup of G. Then for any t

t t1 2, ,.... ,..t

k

 where ti

 

0,1 for all isuch

that t( )e where ' 'e is the identity element of G, is an ngenerated fuzzy subgroup of G

Proof:

Let ,x yG and ( ) xr & ( ) ys

where , ,.... ,... , , ,... ,.... ,

1 2 1 2

r r r r s s s s

k k

  for ,r si i

 

0,1 for all i

Suppose rs

 

Now ( ) x   r x L ;r

 

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1

That is,  xy min ( ), ( )xy

.

Hence  is a ngenerated fuzzy subgroup of G

Theorem3.4:

Let  be an ngenerated fuzzy subgroup of a group Gand ' 'e is the identity element of GIf two ngenerated level fuzzy subgroups L

   

;r , L ;s for

, ,.... ,..

1 2 3

rr r r ,

, ,... ,...

1 2

s s s s

k

 where r si i, 

 

0,1 for all and ,i r s( )e with rs of  are equal,

then There is no x in G such that r( )xs Proof:

Let L

   

;rL ;s

Suppose there exists xG such that r( )xs Then L

 

;sL

 

;r

 

; , but

 

;

x Lr x Ls

  

This contradicts our assumption that L

   

;rL ;s Hence there is no xG such that r( )xs Conversely, suppose that there is no xG such that

( )

r xs, then by definition L

 

;sL

 

;r

Let xL

 

;r and there is no xGsuchthat r( )xs Hence xL

 

;s and therefore L

 

;rL

 

;s

Hence L

   

;rL ;s

CONCLUSION

In this chapter we have propounded the concept of n-generated fuzzy sets. It is directly proportional to Multi-fuzzy set theory

REFERENCES

[1] L.A.Zadeh, Fuzzy sets, Information and control, 8(1965), 338-353. [2] A.Rosenfeld, Fuz groups,J.Math.Anal.Appl.,35(1971 512- 517

[3] K.T.Atanassov “ Intuitionistic fuzzy sets”,Fuzzy sets and Systems 20(1986) no.1, 87-96 [4] W.D.Blizard, “Multiset Theory”, Notre Dame Journal of Formal Logic,Vo.30, No.1, (1989) 36-66

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[7] Choudhury.F.P. and Chakraborty.A.B. and Khare.S.S., A note on fuzzy subgroups and

homomorphism .Journal of mathematical analysis and applications 131, 537-553(1988)

[8] N.Palaniappan and R.Muthuraj, Anti-fuzzy group and Its lower level subgroups,

References

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