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Iranian Journal of Fuzzy Systems، جلد ۲۰، شماره ۴، صفحات ۱۰۳-۱۲۰
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عنوان انگلیسی A Hybridized Correlation Coefficient Technique and its Application in Classification Process under Intuitionistic Fuzzy Setting
چکیده انگلیسی مقاله 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.
کلیدواژه‌های انگلیسی مقاله Correlation measure, Intuitionistic fuzzy sets, decision-making, Intuitionistic fuzzy pairs, pattern recognition
نویسندگان مقاله Paul Augustine Ejegwa |
Department of Mathematics, University of Agriculture, P.M.B. 2373, Makurdi, Nigeria

Chinelo Francisca Ajogwu |
Department of Mathematics, University of Agriculture, P.M.B. 2373, Makurdi, Nigeria

Arun Sarkar |
Department of Mathematics, Heramba Chandra College, Kolkata - 700029, Indian

نشانی اینترنتی https://ijfs.usb.ac.ir/article_7730_a00d16c1e0946e71466fa89903d0b5c0.pdf
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