Irregular Interval Valued Fuzzy Graphs
Madhumangal Pal, Hossein Rashmanlou
TL;DR
This paper introduces irregular interval-valued fuzzy graphs, explores their classifications, properties, and relationships, and derives size formulas and fundamental theorems to advance fuzzy graph theory.
Contribution
It defines irregular interval-valued fuzzy graphs, establishes their classifications, and derives size formulas and key theorems, expanding the theoretical framework of fuzzy graphs.
Findings
Size formulas for regular interval-valued fuzzy graphs
Relations between highly and neighbourly irregular graphs
Basic theorems on irregular interval-valued fuzzy graphs
Abstract
In this paper, we define irregular interval-valued fuzzy graphs and their various classifications. Size of regular interval-valued fuzzy graphs is derived. The relation between highly and neighbourly irregular interval-valued fuzzy graphs are established. Some basic theorems related to the stated graphs have also been presented.
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Taxonomy
TopicsMulti-Criteria Decision Making · Data Management and Algorithms · Intuitionistic Fuzzy Systems Applications