1. Introduction
Most lectures on group theory actually start with the definition of what is a group. It may be worth though spending a few lines to mention how mathematicians came up with such a concept. Around 1770, Lagrange initiated the study of permutations in connection with the study of the solution of equations. He was interested in understanding solutions of polynomials in several variables, and got this idea to study the behaviour of polynomials when their roots are permuted. It is Galois (1811-1832) who is considered by many as the founder of group theory. He was the first to use the term “group” in a technical sense, though to him it meant a collection of permutations closed under multiplication. Galois theory will be discussed much later in these notes.
Fuzzy set theory, proposed by Zadeh [1], has been extensively applied to many scientific fields. In fact, the field grew enormously, and applications were found in areas by many authors [2,3] as diverse as washing machines to handwriting recognition and other applications. Following the discovery of fuzzy sets, much attention has been paid to generalize the basic concepts of classical algebra in a fuzzy framework, and thus developing a theory of fuzzy algebras. In recent years, much interest is shown to generalize algebraic structures of groups, rings, modules, etc. The triangular norm, -norm, originated from the studies of probabilistic metric spaces in which triangular inequalities were extended using the theory of -norm. Later, Hohle [4], Alsina et al., [5] introduced the norm into fuzzy set theory and suggested that the -norm be used for the intersection and union of fuzzy sets. Since then, many other researchers have presented various types of -norms for particular purposes [6,7].
In practice, Zadeh’s conventional -norm,, have been used in almost every design for fuzzy logic controllers and even in the modelling of other decision-making processes. However, some theoretical and experimental studies seem to indicate that other types of -norms may work better in some situations, especially in the context of decision making processes. The author by using norms, investigated some properties of fuzzy algebraic structures [8,9,10,11].
The main purpose of the article is as follows: In Section 2, by using -norms, we introduce anti fuzzy subgroups of group Next we prove that the union of them is also anti fuzzy subgroup and obtain some properties of them. Later, we define the composion between them and we prove that some results about them. Also we introduce anti fuzzy normal subgroups of group under -norms and we show that the union of any family of them is also anti fuzzy normal subgroup. Finally, we define normal subgroup between two anti fuzzy normal subgroups under -norms and we investigate some basic properties of them. In Section 3, we investigate group bhomomorphisms and by using -norms, we prove that image and pre image of anti fuzzy subgroups, anti fuzzy normal subgroups and normal subgroup between two anti fuzzy normal subgroups is also anti fuzzy subgroups, anti fuzzy normal subgroups and normal subgroup between two anti fuzzy normal subgroups, respectively. In Section 4, we define direct sum of anti fuzzy subgroups and anti fuzzy normal subgroups under -norms and we prove that direct sum of any family of anti fuzzy subgroups and anti fuzzy normal subgroups under -norms is also anti fuzzy subgroups and anti fuzzy normal subgroups under -norms, respectively.
2. -norms over anti fuzzy subgroups and anti fuzzy normal subgroups
Definition 1.[12]
Let be an arbitrary group with a multiplicative binary operation
and identity . A fuzzy subset of , we mean a function from
into . The set of all fuzzy subsets of is called the -power set of and is denoted
Definition 2.[13]
An -norm is a function
having the following four properties:
- (1) ,
- (2) if ,
- (3) ,
- (4) ,
for all
We say that is idempotent if for all ,
Example 1.
The basic -norms are and for all ( is standard
union, is bounded sum, is algebraic sum.)
Now we define anti fuzzy subgroup of under an -norm
Definition 3.
Let be a fuzzy subset of a group Define is an anti
fuzzy subgroup of under an -norm iff
for
all
Denote by , the set of all
anti fuzzy subgroups of under an -norm
Example 2.
Let be a set of integer
and be an additive group. Define as
and let be an algebraic sum -norm for all Then
Proposition 1.
Let be a fuzzy subset of a finite group and be
idempotent. satisfies condition (1) of Definition 3,
then
Proof.
Let Since is finite, has finite order, say
So and Now by using Definition 3(1)
repeatedly, we have
Then
In the following we define the union of two anti fuzzy subgroups of under an -norm
Definition 4.
Let We define
for all
Proposition 2.
Let , Then
Proof.
Let Then
And
Thus .
Corollary 1.
Let If , then
Lemma 1.
Let If be idempotent -norm, then for all ,
and we have
Proof.
Let and Then
Proposition 3.
Let and and be idempotent -norm. Then for all if and only if
Proof.
Suppose that for all Then by letting
, we get that Conversely, suppose that By Lemma 1 we get that and Now we have
Thus
Now we define the composition of two anti fuzzy subgroups of under an -norm
Definition 5. Let be a set and let be two fuzzy sets in
Then is defined by
Proposition 4.
Let be the inverse of such that Then if and only if satisfies the
following conditions:
Proof.
Let and such that Then so Also comes from Lemma 1(3).
Conversely, let satisfies the
condition (1) and (2). Then
Therefore
Corollary 2.
Let and be commutative group. Then if and only if
Proof.
If , then from Proposition 3 we get that and Then
Conversely, since we
have
Also Now Proposition 3 gives us that
In the following we define anti fuzzy normal subgroups of under an -norm
Definition 6.
We say that is a normal if
for all , Also we denote by
the set of all anti fuzzy normal subgroups of under an -norm
Proposition 5.
Let Then
Proof.
Let Then Therefore
Corollary 3.
Let If Then
In the following we define the normal subgroups between two anti fuzzy subgroups of under an -norm
Definition 7.
Let and Then is
called a normal subgroup of the subgroup , written , if for all we have that
Proposition 6.
- (1) If and are subgroups of and is a
normal subgroup of then
- (2) If be idempotent -norm, then every anti fuzzy subgroup under an -norm is an anti fuzzy normal subgroup of itself under an -norm
Proof.
- (1) Let and If ,
then and we have
Thus
- (2) Let and
Then Therefore
Proposition 7.
Let be idempotent -norm. If and , then
Proof.
Proposition 1 gives us Now for all we have
Hence
Lemma 2.[14]
Let be an -norm. Then
for all
Proposition 8.
Let be idempotent -norm and If
, then
Proof.
By Proposition 2 we have that If , then
Therefore,
Corollary 4.
Let and such that
Then
3. Image and pre image of anti fuzzy subgroups and anti fuzzy normal subgroups w.r. -norms under group homomorphisms
Definition 8.[7]
Let be a mapping from into and Define and
as
and for all and
Proposition 9.
Let and H be a group. Suppose that is a
homomorphism of into Then
Proof.
Let and such that
and Now
Also since
we
have
Thus
Proposition 10.
Let H be a group and If be a homomorphism of
into , then
Proof.
Let Then Also
Thus
Proposition 11.
Let and be a group. Suppose that is an
epimorphism of onto Then
Proof.
From Proposition 10 we have Let Since
is a surjection, for some Then
Then
Proposition 12.
Let be a group and Suppose that is a
homomorphism of into Then
Proof.
By Proposition 11 we obtain that Now for any , we
have
Hence
Proposition 13.
Let and Let be a group and
a homomorphism from into Then
Proof.
As Proposition 10 we have Let and
Then,
Hence
Proposition 14.
Let be a group. Let and If
be a homomorphism from into , then
Proof.
Using Proposition 11 we have Let
Now
Hence
4. Direct sum of anti fuzzy subgroups and anti fuzzy normal subgroups under -norms
Definition 9.
Let and be anti fuzzy subgroups of the groups and
, respectively under an -norm The direct sum of and , denoted by
, is the function defined by setting for all in
and in ,
Proposition 15.
Let for Then
Proof.
Let Then
Also Hence
Corollary 5.
Let and Then
Corollary 6.
Let for . Then
Proposition 16.
Let for Then
Proof.
Let Then
Therefore
Corollary 7.
Let for . Then
Proposition 17.
Let and
for If , then
Proof.
Let Then
Thus
Corollary 8.
Let for . Then
5. Conclusion
As using -norms, anti fuzzy subgroups and anti fuzzy normal subgroups were defined which are new notions and were considered their fundamental properties and also was made an attempt to study the characterizations of them. Next image and pre image of them were investigated under group homomorphisms. Finally, the direct sum of them was introduced and was proved that direct sum of any familly of them be also anti fuzzy subgroups and anti fuzzy normal subgroups under -norms, respectively.
Acknowledgments
The author would like to thank the referees for carefully reading the manuscript and making several helpful comments to increase the quality of the paper.
Conflicts of Interest
The author declares no conflict of interest.