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Granular Computing

Erschienen in:

17.08.2021 | Original Paper

Decision-making with q-rung orthopair fuzzy graph structures

verfasst von: Muhammad Akram, Muzzamal Sitara

Erschienen in: Granular Computing | Ausgabe 3/2022

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Abstract

The q-rung orthopair fuzzy sets being an extension of intuitionistic and Pythagorean fuzzy sets is very flexible model to express uncertain information that concerns only two attributes yes or no. In this research article, we combine the concept of graph structures with q-rung orthopair fuzzy sets, and introduce the notion of q-rung orthopair fuzzy graph structures (q-ROFGSs) that provides a broader space for membership and non-membership values. First, we define normal product of q-ROFGSs and investigate its \(\rho _{i}\)-regularity with several properties. Further, we discuss \(\rho '_{i}-m\)-partite q-ROFGSs with different conditions to be a \(\rho '_{i}-m\)-regular q-ROFGS. In addition, we present an application of m-partite q-ROFGSs in decision-making, regarding selection of best employees for sale of company products to wholesale buyers, retail buyers and online consumers.

Vorheriger Artikel Weighted average LINMAP group decision-making method based on q-rung orthopair triangular fuzzy numbers

Nächster Artikel An approach to decision-making via picture fuzzy soft graphs

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Titel: Decision-making with q-rung orthopair fuzzy graph structures
verfasst von: Muhammad Akram
Muzzamal Sitara
Publikationsdatum: 17.08.2021
Verlag: Springer International Publishing
Erschienen in: Granular Computing / Ausgabe 3/2022
Print ISSN: 2364-4966
Elektronische ISSN: 2364-4974
DOI: https://doi.org/10.1007/s41066-021-00281-3

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