Intuitionistic Fuzzy Optimized Weighted Geometric Bonferroni Means and Their Applications in Group Decision Making

• Autorzy: Park J. H. , Kim J. Y. , Kwun Y. C.

Identyfikatory

DOI

10.3233/FI-2016-1341

• Języki publikacji: EN

Abstrakty

EN

The geometric Bonferroni mean (GBM) is an important aggregation technique which reflects the correlations of aggregated arguments. Based on the GBM, in this paper, we develop the optimized weighted geometric Bonferroni mean (OWGBM) and the generalized optimized weighted geometric Bonferroni mean (GOWGBM), whose characteristics are to reflect the preference and interrelationship of the aggregated arguments. Furthermore, we develop the intuitionistic fuzzy optimized weighted geometric Bonferroni mean (IFOWGBM) and the generalized intuitionistic fuzzy optimized weighted geometric Bonferroni mean (GIFOWGBM), and study their desirable properties such as idempotency, commutativity, monotonicity and boundedness. Finally, based on the IFOWGBM and GIFOWGBM, we present an approach to multi-criteria decision making and illustrate it with a practical example.

Słowa kluczowe

EN

Intuitionistic fuzzy optimized weighted geometric Bonferroni mean; IFOWGBM; generalized intuitionistic fuzzy optimized weighted geometric Bonferroni mean; GIFOWGBM; multi-criteria decision making

• Wydawca: IOS Press
• Czasopismo: Fundamenta Informaticae
• Rocznik: 2016
• Tom: Vol. 144, nr 3/4
• Strony: 363--381
• Opis fizyczny: Bibliogr. 29 poz., tab.

Twórcy

autor

Park J. H.

• Department of Applied Mathematics, Pukyong National University, Busan 608-737, South Korea

autor

Kim J. Y.

• Department of Applied Mathematics, Pukyong National University, Busan 608-737, South Korea

autor

Kwun Y. C.

• Department of Mathematics, Dong-A University, Busan 604-714, South Korea

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