Comparison measures for Pythagorean m-polar fuzzy sets and their applications to robotics and movie recommender system

Journal article

Authors/Editors

Strategic Research Themes

Publication Details

Author list: Kumam, Wiyada; Naeem, Khalid; Riaz, Muhammad; Khan, Muhammad Jabir; Kumam, Poom;

Publisher: AIMS Press

Publication year: 2023

Volume number: 8

Issue number: 5

Start page: 10357

End page: 10378

Number of pages: 22

ISSN: 2473-6988

eISSN: 2473-6988

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149242573&doi=10.3934%2fmath.2023524&partnerID=40&md5=cd7386f6f4a74cb9746a98f1fa77aff4

Languages: English-Great Britain (EN-GB)

View in Web of Science | View on publisher site | View citing articles in Web of Science

Abstract

The perception of comparison measures is vitally significant in more or less every scientific field. They have many practical implementations in areas such as medicine, molecular biology, management, meteorology, etc. In this article, novel similarity, distance, and correlation comparison measures for Pythagorean m-polar fuzzy sets are proposed. The leading qualities of these comparison measures are investigated. The numerical examples are provided to demonstrate their formulation. In PmFSs, elements are allowed to duplicate finitely, which supports the usage of the measures put forward in here-and-now situations where we ponder time and again to reach some decision. The three algorithms are proposed to discuss the applications of comparison measures for PmFSs in robotics and movie recommender systems. © 2023 the Author(s), licensee AIMS Press.

Keywords

comparison measure, Pythagorean m-polar fuzzy sets, robotics and movie recommender system