q-rung orthopair fuzzy 2-tuple linguistic clustering algorithm and its applications to clustering analysis

Fatima Abbas, Jawad Ali, Wali Khan Mashwani, Muhammad I. Syam

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)

Abstract

q-ROPFLS, including numeric and linguistic data, has a wide range of applications in handling uncertain information. This article aims to investigate q-ROPFL correlation coefficient based on the proposed information energy and covariance formulas. Moreover, considering that different q-ROPFL elements may have varying criteria weights, the weighted correlation coefficient is further explored. Some desirable characteristics of the presented correlation coefficients are also discussed and proven. In addition, some theoretical development is provided, including the concept of composition matrix, correlation matrix, and equivalent correlation matrix via the proposed correlation coefficients. Then, a clustering algorithm is expanded where data is expressed in q-ROPFL form with unknown weight information and is explained through an illustrative example. Besides, detailed parameter analysis and comparative study are performed with the existing approaches to reveal the effectiveness of the framed algorithm.

Original languageEnglish
Article number2789
JournalScientific reports
Volume13
Issue number1
DOIs
Publication statusPublished - Dec 2023

ASJC Scopus subject areas

  • General

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