3.1. Intuitionistic Type-2 Fuzzy Normed Linear Spaces
In this section, we introduce the notion of an intuitionistic type-2 fuzzy normed linear space with an example. In addition, we show that the decomposition of an intuitionistic type-2 fuzzy norm gives us a family of pairs of Felbin-type fuzzy norms.
Definition 13. An intuitionistic type-2 fuzzy norm, or, in short, an IT2FN, on X (where X is a linear space over ) is an object of the form where , are functions from to satisfying the following conditions:
(i) When , ;
(ii) () if and only if ;
(iii) , if ;
(iv) ;
(v) is a non-decreasing function of , which means, if with , then and ;
(vi) When , ;
(vii) () if and only if ;
(viii) , if ;
(ix) ;
(x) is a non-increasing function of , which means, if with , then and .
Definition 14. If A is an IT2FN on X (a linear space over the field ), then is called an intuitionistic type-2 fuzzy normed linear space or, in short, an IT2FNLS.
The following is an example of an intuitionistic type-2 fuzzy normed linear space.
Example 1. Let be the usual normed linear space. For any fuzzy real number , define as follows:where denotes the closure of support of the fuzzy real number η. Let be any fixed real number. Define Then is an intuitionistic type-2 fuzzy normed linear space.
Solution 1. (i) When , we have, from the definition, .
(ii) with , .
.
(iii) with and , we obtain .
Again, .
(iv) We have to show that and ,
.
If
- (a)
- (b)
, then, in these cases, the relation is obvious.
If
- (c)
, then
.
Now {
.....................
So by (i)
.
Similarly, if , we have
.
Thus, .
(v) We consider the case .
If and , then ,
and ,
So .
If and , then and hence
[since ]
So
, for all .
Thus, is a non-decreasing function of .
When , then , and hence . So, .
Similarly, satisfies all conditions of of Definition 13.
Theorem 4. Let be an IT2FNLS. We assume further that
- (xi)
implies ;
- (xii)
implies
Define
and .
Then (A) is a family of Felbin-type fuzzy norms on X such that
and (B) is a family of Felbin-type fuzzy norms on X such that
Proof. (A) If , then
by (xi).
Conversely, let
for all
.
Therefore, .
Now take and .
Since , we have
.
Thus, is a family of Felbin-type fuzzy norms on X such that .
(B) Now we will prove that is also a family of Felbin-type fuzzy norms on X such that
Let and
by (xii).
Conversely, we assume that
.
By definition, it is quite obvious that
.
Let and .
Now
. □
Lemma 3. Let be an IT2FNLS satisfying the condition (xi) and be a finite set of linearly independent elements of X. Then, for each , there exists a with , where such that, for every choice of scalars , we have
.
Proof. From Theorem 4, it follows that, if is an intuitionistic type-2 fuzzy normed linear space satisfying (xi), then is a Felbin-type fuzzy norm for each . Therefore, by Proposition 2, for each , there exists a such that . □
3.2. Convergence in Intuitionistic Type-2 Fuzzy Normed Linear Space
The idea of the convergence of sequences and some of the basic results related to convergence are studied in this subsection.
Definition 15. In an IT2FNLS , a sequence is said to be convergent to if and and is denoted by .
Theorem 5. If a sequence in an IT2FNLS is convergent, its limit is unique.
Proof. Let and .
Then, .
Now
i.e, .
Now
,
.
Thus,
. □
Theorem 6. If and , then in an IT2FNLS
Proof. Since and ,
and ,
and
.
Now, proceeding to the limit as , we obtain ..................(i).
Now, proceeding to the limit as , we obtain ...................(ii).
Combining (i) and (ii), we obtain . □
Theorem 7. If and , then in an IT2FNLS .
Proof. Since ,
we have and .
Now
and so .
Proceeding similarly, we obtain .
Thus, we have . □
Theorem 8. In an IT2FNLS , every subsequence of a convergent sequence is convergent and converges to the same limit.
Proof. Let be a convergent sequence in with and be a subsequence of .
Then, and .................(i)
Now, as , then , and, from (i), we easily obtain that
and .
Thus, we see that the sequence is convergent, and . □
Definition 16. A sequence in an IT2FNLS is said to be a Cauchy sequence if and , and .
Theorem 9. In an IT2FNLS , every convergent sequence is a Cauchy sequence.
Proof. Suppose is convergent and .
Then and .
Now .
We also have
i.e, .
Now, ,
So, ,
Proceeding similarly, we can prove that ,
Hence, is a Cauchy sequence in . □
3.3. Completeness and Finite Dimensionality in Intuitionistic Type-2 Fuzzy Normed Linear Space
Basic properties related to the completeness, boundedness, compactness and finite dimensionality in the IT2FNLS are studied in this subsection.
Definition 17. Let be an IT2FNLS. If every Cauchy sequence in is convergent, then we call to be complete.
Theorem 10. Let be an IT2FNLS, such that every Cauchy sequence in has a convergent subsequence. Then, is complete.
Proof. Let be a Cauchy sequence in and be a convergent subsequence of with .
Then and , and .
Also, and .
Then, proceeding to the limit as , we obtain ...................(i).
Similarly, going by the previous approach, we can prove that ......................(ii).
Combining (i) and (ii), we have the sequence , which is convergent, and .
Thus, we see that every Cauchy sequence in is convergent, and so is complete. □
Theorem 11. Every finite- dimensional IT2FNLS satisfying the conditions (xi) and (xii) is complete.
Proof. Let be an IT2FNLS and dim .
Let be a basis of X and be a Cauchy sequence in X.
Let , , , .
Now we have ,
,
Choose and .
Then there exists a positive integer such that
,
Now .
Therefore, .
Since is arbitary,
as for each ,
as where , by the Lemma 3,
as , since for all
is a Cauchy sequence in for each .
Since is complete, converges for each .
Let for and .
Then, .
Let . Then as [Since as for ].
So as , by Lemma 2.
Hence, we have for …k ....................(ii).
From (i) and (ii), we obtain .
Now for …k ....................(iv).
From (iii) and (iv), we obtain .
Hence, lim, i.e, the sequence is convergent.
Thus, we see that the IT2FNLS is complete. □
Definition 18. A subset U in an IT2FNLS is said to be bounded if, for any with , such that and .
Theorem 12. Let be an IT2FNLS. Then, every Cauchy sequence in is bounded.
Proof. Let us consider a Cauchy sequence in an IT2FNLS .
Then and and
Let with .
Then we have and .
For such that ,
Since such that , for all .
Let .
Then
Therefore, .
Also, .
Hence, ..........................(i)
Also, we have and .
For such that ,
Since such that , for all .
Let .
Then
Therefore, .
Also, .
Hence, ...........................(ii)
Let .
Then, from (i) and (ii), we obtain and , i.e, and with .
This implies that is bounded in . □
Remark 2. The converse of the above theorem is not true in general, which follows from the following example.
Example 2. Let be the usual real normed linear space and be the usual Felbin-type fuzzy norm on , i.e, Then is an intuitionistic type-2 fuzzy normed linear space. Take the sequence where . Then, we see that the sequence is bounded but not Cauchy.
In fact, for the above sequence, we have .
Now choose any such that .
Then, if we take any , then and also .
Thus, the sequence is bounded.
Also, for the given sequence, we see that or for any , and
If , then , and, if , then .
Hence, the sequence is not Cauchy.
Definition 19. Let be an IT2FNLS. A subset V of X is said to be closed if any sequence in V converges to that is and .
Definition 20. Let be an IT2FNLS. A subset U of X is said to be compact if any sequence in U has a subsequence converging to an element of U.
Theorem 13. Let be a finite-dimensional IT2FNLS satisfying the conditions (xi) and (xii) and . Then U is compact if it is closed and bounded.
Proof. Let dim and be a basis of X.
We take a sequence in U and let , where , .
Since U is bounded, is bounded. Then, for each with , such that and for all ......................(i).
Now .
Then, from (i), we obtain ................(ii).
Since is a linearly independent set, by the Lemma 3, there exists a such that (n = 1,2,…)...............(iii).
From (ii) and (iii), we obtain .
Now, if we take and for , then and .
Then for n = 1,2,…, and so, for each , is a bounded sequence of real numbers.
Now is bounded, and so, by the Bolzano–Weierstrass theorem, it has a convergent subsequence. Let denote the limit of that subsequence and let denote the corresponding subsequence of . By the same argument, has a subsequence for which the corresponding subsequence of real converges. Let denote the limit of that subsequence. Continuing in this way after k steps, we obtain a sequence of whose elements are of the form with scalars satisfying as for .
Let . Then, .
Now, for
, we have
.....................(iv).
Let .
Then as , since , when .
So as by Lemma 2.
Then we have ...............(v).
Combining (iv) and (v), we obtain ......................(vi).
Again, for all
,
.....................(vii)
Let .
Then, as , since , when .
So as by Lemma 2.
Then we have ...............(viii).
Combining (vi) and (vii), we obtain .................(ix).
Combining (vi) and (xi), we obtain and
, i.e, is a convergent subsequence of which converges to x. Since U is closed, . Hence, every sequence in U has a subsequence which converges in U. Thus, U is compact. □