Feng-Liu's Approach to Fixed Point Results of Intuitionistic Fuzzy Set-Valued Maps

The applications of non-zero self distance function have recently been discovered in both symmetric and asymmetric spaces. With respect to invariant point results, the available literature reveals that the idea has only been examined for crisp mappings in either symmetric or asymmetric spaces. Hence, the aim of this paper is to introduce the notion of invariant points for non-crisp set-valued mappings in metric-like spaces. To this effect, the technique of ?-contraction and Feng-Liu's approach are combined to establish new versions of intuitionistic fuzzy functional equations. One of the distinguishing ideas of this article is the study of fixed point theorems of intuitionistic fuzzy set-valued mappings without using the conventional Pompeiu-Hausdorff metric. Some of our obtained results are applied to examine their analogues in ordered metric-like spaces endowed with an order and binary relation as well as invariant point results of crisp set-valued mappings. By using a comparative example, it is observed that a few important corresponding notions in the existing literature are complemented, unified and generalized.

Automated summary

The applications of non-zero self distance function have been recently discovered in both symmetric and asymmetric spaces. Only the idea of invariant points for crisp mappings in either symmetric or asymmetric spaces has been examined in the available literature. This paper aims to introduce the notion of invariant points for non-crisp set-valued mappings in metric-like spaces. The technique of ?-contraction and Feng-Liu's approach are combined to establish new versions of intuitionistic fuzzy functional equations, and fixed point theorems are studied without using the conventional Pompeiu-Hausdorff metric.