Domination in Pythagorean fuzzy graphs

Pythagorean fuzzy set theory is much more flexible to deal with obscure and uncertain knowledge comparative to fuzzy set theory. The principal aim of this article is to expand the meanings of domination and cobondage for Pythagorean fuzzy graphs by introducing the meanings of normal domination numbe...

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Bibliographic Details
Published inGranular computing (Internet) Vol. 8; no. 5; pp. 959 - 966
Main Authors Banitalebi, Sadegh, Borzooei, Rajab Ali
Format Journal Article
LanguageEnglish
Published Cham Springer International Publishing 01.09.2023
Subjects
Artificial Intelligence
Computational Intelligence
Engineering
Original Paper
Normal domination number
Pythagorean fuzzy graph
Normal cobondage set
Abnormal independent number
Normal cobondage number
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Summary:Pythagorean fuzzy set theory is much more flexible to deal with obscure and uncertain knowledge comparative to fuzzy set theory. The principal aim of this article is to expand the meanings of domination and cobondage for Pythagorean fuzzy graphs by introducing the meanings of normal domination number, abnormal independent number, normal cobondage set, and normal cobondage number. Some relevant results of these meanings describe their significance as well as applicability. We present a decision-making problem in real-world applied example which discusses the agents affecting a corporation’s yield. The presented model is, in fact, an agent-based model wherein the impact score of each agent is divided into two types of direct and indirect influences.
ISSN:2364-4966
2364-4974
DOI:10.1007/s41066-023-00362-5