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 ℒ-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 ℝ and lim t μ(x,t)=1;

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

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.