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Some New Distance and Similarity Algorithms for Pythagorean Fuzzy Sets With Application in Decision-Making Problems
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Author(s): Paul Augustine Ejegwa (University of Agriculture, Makurdi, Nigeria)and Idoko Charles Onyeke (University of Agriculture, Makurdi, Nigeria)
Copyright: 2022
Pages: 20
Source title:
Handbook of Research on Advances and Applications of Fuzzy Sets and Logic
Source Author(s)/Editor(s): Said Broumi (Laboratory of Information Processing, Faculty of Science Ben M’Sik, University Hassan II, Casablanca, Morocco & Regional Center for the Professions of Education and Training (CRMEF), Casablanca-Settat, Morocco)
DOI: 10.4018/978-1-7998-7979-4.ch008
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Abstract
This chapter introduces some new distance and similarity measures for PFSs which resolve the inaccuracies observed in the existing measures. The objectives of this work are to introduce a new distance and similarity measures for PFSs, encapsulate the measures in an algorithm, and explore their applicability in some decision-making problems. Numerical experiments are supplied to ascertain the superiority of the new distance and similarity measures over the existing measures. Some decision-making problems such as students' career placement and pattern recognition represented in Pythagorean fuzzy pairs are addressed using the new distance and similarity measures coded with JAVA programming language.
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