Work

Applications of new q-rung orthopair fuzzy rough distance measures in pattern recognition and disease diagnosis problems

Year: 2024

Type: conference-paper

Abstract: As the combined version of rough sets (RSs) and q-rung orthopair fuzzy sets (q-ROFSs), the idea of q-rung orthopair fuzzy rough sets (q-ROFRSs) is more flexible to deal with inaccurate, uncertain and incomplete data.In this manuscript, we propose various q-rung orthopair fuzzy rough distance measures for computing the distance between q-ROFRSs.Some examples are discussed to exemplify the efficacy of developed q-ROFR-distance measures over existing ones.We further demonstrate its utility in pattern recognition and crop disease diagnosis problems.We also establish the superiority of developed distance measures over existing distance measures on q-ROFRSs in view of the structured linguistic variables.

Source: Annals of Computer Science and Information Systems

DOI: 10.15439/2024f3026

Authors: Dragan Pamucar, Arunodaya Raj Mishra, Pratibha Rani

Institutions: Western Caspian University, University of Belgrade, Koneru Lakshmaiah Education Foundation

Language: English

Topic: Rough Sets and Fuzzy Logic

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4404736898

FWCI: 0.707

Cites:

Cited by: 1

Related to: 10