A Hybridized Correlation Coefficient Technique and its Application in Classification Process under Intuitionistic Fuzzy Setting

Paul Ejegwa; Chinelo Ajogwu; Arun Sarkar

A Hybridized Correlation Coefficient Technique and its Application in Classification Process under Intuitionistic Fuzzy Setting

Publish place: Iranian Journal of Fuzzy Systems، Vol: 20، Issue: 4

Publish Year: 1402

Type: Journal paper

Language: English

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Link to this Paper:

https://civilica.com/doc/1695622

Document National Code:

JR_IJFS-20-4_008

Index date: 17 July 2023

A Hybridized Correlation Coefficient Technique and its Application in Classification Process under Intuitionistic Fuzzy Setting abstract

Intuitionistic fuzzy set (IFS) is a reliable device for resolving uncertainty and haziness encountered in decision-making process. In most cases, the significance of IFSs are explored based on correlation measures in myriad of areas like in engineering, image segmentation, pattern recognition, diagnosticanalysis, etc. Some methods for computing intuitionistic fuzzy correlation coefficient (IFCC) have been investigated, however with some inadequacies. In this present work, a new method of IFCC is developed to correct the drawbacks in some existing techniques in terms of mathematical presentation and the exclusion of the hesitation parameter to enhance reasonable output. A comparative analysis is presented to ascertain the edge of the new technique over some similarapproaches. In addition, the new correlation coefficient technique is applied to discuss some pattern recognition problems. This new IFCC method could be investigated based on spherical fuzzy data, q-rung orthopair fuzzy data, and picture fuzzy data.

A Hybridized Correlation Coefficient Technique and its Application in Classification Process under Intuitionistic Fuzzy Setting Keywords:

Correlation measure , Intuitionistic fuzzy sets , decision-making , Intuitionistic fuzzy pairs , pattern recognition

A Hybridized Correlation Coefficient Technique and its Application in Classification Process under Intuitionistic Fuzzy Setting authors

Paul Ejegwa

Department of Mathematics, University of Agriculture, P.M.B. ۲۳۷۳, Makurdi, Nigeria

Chinelo Ajogwu

Department of Mathematics, University of Agriculture, P.M.B. ۲۳۷۳, Makurdi, Nigeria

Arun Sarkar

Department of Mathematics, Heramba Chandra College, Kolkata - ۷۰۰۰۲۹, Indian

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