Abstract

We define and study Browder's fixed point theorem and relation between an intuitionistic fuzzy convex normed space and a strong intuitionistic fuzzy uniformly convex normed space. Also, we give an example to show that uniformly convex normed space does not imply strongly intuitionistic fuzzy uniformly convex.

Highlights

  • In recent years, the fuzzy theory has emerged as the most active area of research in many branches of mathematics and engineering

  • Fuzzy set theory is a powerful hand set for modelling uncertainty and vagueness in various problems arising the field of science and engineering

  • The fuzzy topology 4–8 proves to be a very useful tool to deal with such situations where the use of classical theories breaks down

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Summary

Introduction

The fuzzy theory has emerged as the most active area of research in many branches of mathematics and engineering. Quite recently the concepts of l-intuitionistic fuzzy compact set and strongly intuitionistic fuzzy uniformly convex normed space are studied, and Schauder fixed point theorem in intuitionistic fuzzy normed space is proved in 30. A binary operation ∗ : 0, 1 × 0, 1 → 0, 1 is said to be a continuous t-norm if it satisfies the following conditions:. Using the notions of continuous t-norm and t-conorm, Saadati and Park 10 have recently introduced the concept of intuitionistic fuzzy normed space as follows. The five-tuple X, μ, υ, ∗, ♦ is said to be intuitionistic fuzzy normed spaces for short, IFNS if X is a vector space, ∗ is a continuous t-norm, ♦ is a continuous t-conorm, and μ, υ are fuzzy sets on X × 0, ∞ satisfying the following conditions. The concepts of convergence and Cauchy sequences in an intuitionistic fuzzy normed space are studied in 10. 1.4 for all x, y ∈ X, for all t ∈ R

Browder’s Theorems and Some Results in IFNS
Conclusion
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