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Theory and Modern Applications

A note on IFN-spaces

Abstract

Recently, Al-Fhaid and Mohiuddine (Adv. Differ. Equ. 2013:203, 2013) and Mohiuddine and Alghamdi (Adv. Differ. 2012:141, 2012) got some results in intuitionistic fuzzy normed spaces using ideas of intuitionistic fuzzy sets due to Atanassov and fuzzy normed spaces due to Saadati and Vaezpour. In this note, we show that the mentioned results follow directly from well-known theorems in fuzzy normed spaces.

MSC:54E40, 54E35, 54H25.

1 Introduction

Intuitionistic fuzzy normed spaces were investigated by Saadati and Park [1]. They introduced and studied intuitionistic fuzzy normed spaces based both on the idea of intuitionistic fuzzy sets due to Atanassov [2] and the concept of fuzzy normed spaces given by Saadati and Vaezpour in [3]. Next Deschrijver et al. [4] modified the concept of intuitionistic fuzzy normed spaces and introduced the notation of -fuzzy normed space. Recently, Al-Fhaid and Mohiuddine [5] and Mohiuddine and Alghamdi [6] got some results in intuitionistic fuzzy normed spaces. In this note we prove that the topology τ ( μ , ν ) generated by an intuitionistic fuzzy normed space (X,μ,ν,,) coincides with the topology τ μ generated by the generalized fuzzy normed space (X,μ,), and thus, the results obtained in [5] and [6] are immediate consequences of the corresponding results for fuzzy normed spaces.

2 Preliminaries

A binary operation :[0,1]×[0,1][0,1] is a continuous t-norm if it satisfies the following conditions:

  1. (a)

    is associative and commutative,

  2. (b)

    is continuous,

  3. (c)

    a1=a for all a[0,1],

  4. (d)

    abcd whenever ac and bd, for each a,b,c,d[0,1].

Two typical examples of continuous t-norm are ab=ab and ab=min(a,b).

A binary operation :[0,1]×[0,1][0,1] is a continuous t-conorm if it satisfies the following conditions:

  1. (a)

    is associative and commutative,

  2. (b)

    is continuous,

  3. (c)

    a0=a for all a[0,1],

  4. (d)

    abcd whenever ac and bd, for each a,b,c,d[0,1].

Two typical examples of a continuous t-conorm are ab=min(a+b,1) and ab=max(a,b).

In 2005, Saadati and Vaezpour [3] introduced the concept of fuzzy normed spaces.

Definition 2.1 Let X be a real vector space. A function μ:X×R[0,1] is called a fuzzy norm on X if for all x,yX and all s,tR,

( μ 1 ) μ(x,t)=0 for t0;

( μ 2 ) x=0 if and only if μ(x,t)=1 for all t>0;

( μ 3 ) μ(cx,t)=μ(x, t | c | ) if c0;

( μ 4 ) μ(x+y,s+t)μ(x,s)μ(y,t);

( μ 5 ) μ(x,) is a non-decreasing function of and lim t μ(x,t)=1;

( μ 6 ) for x0, μ(x,) is continuous on .

For example, if ab=ab for a,b[0,1], (X,) is normed space and

μ(x,t)= t t + x

for all x,y,zX and t>0. Then μ is a (standard) fuzzy normed and (X,μ,) is a fuzzy normed space.

Saadati and Vaezpour showed in [3] that every fuzzy norm (μ,) on X generates a first countable topology τ μ on X which has as a base the family of open sets of the form { B μ (x,r,t):xX,r(0,1),t>0} where B μ (x,r,t)={yX:μ(xy,t)>1r} for all xX, r(0,1) and t>0.

3 Intuitionistic fuzzy normed spaces

Saadati and Park [1] defined the notion of intuitionistic fuzzy normed spaces with the help of continuous t-norms and continuous t-conorms as a generalization of fuzzy normed space due to Saadati and Vaezpour [3].

Definition 3.1 The 5-tuple (X,μ,ν,,) is said to be an intuitionistic fuzzy normed space if X is a vector space, is a continuous t-norm, is a continuous t-conorm, and μ, ν are fuzzy sets on X×(0,) satisfying the following conditions for every x,yX and t,s>0:

  1. (a)

    μ(x,t)+ν(x,t)1,

  2. (b)

    μ(x,t)>0,

  3. (c)

    μ(x,t)=1 if and only if x=0,

  4. (d)

    μ(αx,t)=μ(x, t | α | ) for each α0,

  5. (e)

    μ(x,t)μ(y,s)μ(x+y,t+s),

  6. (f)

    μ(x,):(0,)[0,1] is continuous,

  7. (g)

    lim t μ(x,t)=1 and lim t 0 μ(x,t)=0,

  8. (h)

    ν(x,t)<1,

  9. (i)

    ν(x,t)=0 if and only if x=0,

  10. (j)

    ν(αx,t)=ν(x, t | α | ) for each α0,

  11. (k)

    ν(x,t)ν(y,s)ν(x+y,t+s),

  12. (l)

    ν(x,):(0,)[0,1] is continuous,

  13. (m)

    lim t ν(x,t)=0 and lim t 0 ν(x,t)=1.

In this case (μ,ν) is called an intuitionistic fuzzy norm.

Example 3.2 Let (X,) be a normed space. Denote ab=ab and ab=min(a+b,1) for all a,b[0,1] and let μ and ν be fuzzy sets on X×(0,) defined as follows:

μ(x,t)= t t + x ,ν(x,t)= x t + x

for all t R + . Then (X,μ,ν,,) is an intuitionistic fuzzy normed space.

Saadati and Park proved in [1] that every intuitionistic fuzzy norm (μ,ν) on X generates a first countable topology τ ( μ , ν ) on X which has as a base the family of open sets of the form { B ( μ , ν ) (x,r,t):xX,r(0,1),t>0} where B ( μ , ν ) (x,r,t)={yX:μ(xy,t)>1r,ν(xy,t)<r} for all xX, r(0,1) and t>0.

Lemma 3.3 Let (X,μ,ν,,) be an intuitionistic fuzzy normed space. Then, for each xX, r(0,1) and t>0, we have B ( μ , ν ) (x,r,t)= B μ (x,r,t).

Proof It is clear that B ( μ , ν ) (x,r,t) B ν (x,r,t).

Now, suppose that y B μ (x,r,t). Then μ(xy,t)>1r, so, by condition (i) of Definition 3.1, we have

1=μ(xy,t)+ν(xy,t)>1r+ν(xy,t).

Hence ν(xy,t)<r, and consequently y B ( μ , ν ) (x,r,t). The proof is finished. □

From Lemma 3.3, we deduce the following.

Theorem 3.4 Let (X,μ,ν,,) be an intuitionistic fuzzy normed space. Then the topologies τ ( μ , ν ) and τ μ coincide on X.

References

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Correspondence to Choonkil Park.

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The authors declare that they have no competing interests.

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All authors carried out the proof. All authors conceived of the study, and participated in its design and coordination. All authors read and approved the final manuscript.

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Saadati, R., Park, C. A note on IFN-spaces. Adv Differ Equ 2014, 63 (2014). https://doi.org/10.1186/1687-1847-2014-63

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