Hesitant fuzzy prioritized operators and their application to multiple attribute decision making
Knowledge-Based Systems
Hesitant fuzzy geometric Bonferroni means
Information Sciences: an International Journal
Group decision making based on generalized intuitionistic fuzzy prioritized geometric operator
International Journal of Intelligent Systems
Hesitant fuzzy entropy and cross-entropy and their use in multiattribute decision-making
International Journal of Intelligent Systems
Fusion of supervised and unsupervised learning for improved classification of hyperspectral images
Information Sciences: an International Journal
International Journal of Intelligent Systems
Intuitionistic fuzzy geometric Heronian mean aggregation operators
Applied Soft Computing
Using linear programming for weights identification of generalized bonferroni means in r
MDAI'12 Proceedings of the 9th international conference on Modeling Decisions for Artificial Intelligence
Geometric Bonferroni means with their application in multi-criteria decision making
Knowledge-Based Systems
Computers & Mathematics with Applications
Expert Systems with Applications: An International Journal
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Hesitant triangular fuzzy information aggregation in multiple attribute decision making
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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The Bonferroni mean (BM) was originally introduced by Bonferroni and then more recently generalized by Yager. The desirable characteristic of the BM is its capability to capture the interrelationship between input arguments. Nevertheless, it seems that the existing literature only considers the BM for aggregating crisp numbers instead of any other types of arguments. In this paper, we investigate the BM under intuitionistic fuzzy environments. We develop an intuitionistic fuzzy BM (IFBM) and discuss its variety of special cases. Then, we apply the weighted IFBM to multicriteria decision making. Some numerical examples are given to illustrate our results.