Optimal Interaction Priority Calculation From Hesitant Fuzzy Preference Relations Based on the Monte Carlo Simulation Method for the Acceptable Consistency and Consensus

To address the situation where the complete consistency is unnecessary, a stepwise optimization model-based method for testing the acceptably additive consistency (AAC) of hesitant fuzzy preference relations (HFPRs) is introduced. Then, an AAC concept for HFPRs is defined. Meanwhile, incomplete HFPR...

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Veröffentlicht in:	IEEE transactions on cybernetics 2021-12, Vol.51 (12), p.5871-5882
Hauptverfasser:	Meng, Fan-Yong, Tang, Jie, Pedrycz, Witold, An, Qing-Xian
Format:	Artikel
Sprache:	eng
Schlagworte:	Acceptably additive consistency (AAC) Additives Algorithms Analytical models Computer simulation Consensus consensus analysis Consistency decision analysis Decision Making Fuzzy Logic hesitant fuzzy preference relation (HFPR) Maximization Monte Carlo Method Monte Carlo methods Monte Carlo simulation Optimization optimization model ordinal consistency (OC) Programming
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