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Article type: Research Article
Authors: Singh, Pushpinder
Affiliations: Department of Computer Science, Palacky University, Olomouc, Czech Republic
Note: [] Corresponding author. Pushpinder Singh, Department of Computer Science, Palacky University, 17. listopadu 12, Olomouc CZ-77146, Czech Republic. Tel.: +420608828914, +919463160230; E-mails: [email protected], [email protected]
Abstract: Picture fuzzy sets are extension of Atanassov's intuitionistic fuzzy sets. Picture fuzzy set based models may be adequate in situations when we face human opinions involving more answers of types: yes, abstain, no, refusal. It can be considered as a powerful tool represent an uncertain information in the process of cluster analysis. In this paper, we present a geometrical interpretation of picture fuzzy sets. We propose correlation coefficients for picture fuzzy sets which considers the degree of positive membership, degree of neutral membership, degree of negative membership and the degree of refusal membership. Effectiveness of the proposed correlation coefficient has been established in a bidirectional approximate reasoning systems. We apply the correlation coefficient to clustering analysis under picture fuzzy environments. Advantages of proposed correlation coefficients and drawbacks of existing correlation coefficients have been discussed.
Keywords: Picture fuzzy sets, Atanassov's intuitionistic fuzzy sets, correlation coefficient, bidirectional approximate reasoning system, cluster analysis
DOI: 10.3233/IFS-141338
Journal: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 2, pp. 591-604, 2015
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