Methods for strategic decision-making problems with immediate probabilities in intuitionistic fuzzy setting

被引:70
|
作者
Wei, G. W. [1 ]
Merigo, J. M. [2 ]
机构
[1] Chongqing Univ Arts & Sci, Dept Econ & Management, Chongqing 402160, Peoples R China
[2] Univ Barcelona, Dept Business Adm, Barcelona 08034, Spain
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
Strategic decision-making; Intuitionistic fuzzy values; Interval-valued intuitionistic fuzzy values; Operational laws; Probabilistic aggregating operators; AGGREGATION OPERATORS; SETS; MULTIPERSON; MODELS;
D O I
10.1016/j.scient.2012.07.017
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
With respect to decision-making problems by using probabilities, immediate probabilities and information that can be represented with intuitionistic fuzzy information or interval-valued intuitionistic fuzzy information, some new decision analysis are proposed. Firstly, some operational laws, score function and accuracy function of intuitionistic fuzzy values or interval-valued intuitionistic fuzzy values are introduced. Then, we have developed some new probability aggregation operators with intuitionistic fuzzy information: Probability Intuitionistic Fuzzy Weighted Average (P-IFWA) operator, Immediate Probability Intuitionistic Fuzzy Ordered Weighted Average (IP-IFOWA) operator, Probability Intuitionistic Fuzzy Ordered Weighted Average (P-IFOWA) operator, Probability Intuitionistic Fuzzy Weighted Geometric (P-IFWG) operator, Immediate Probability Intuitionistic Fuzzy Ordered Weighted Geometric (IP-IFOWG) operator and Probability Intuitionistic Fuzzy Ordered Weighted Geometric (P-IFOWG) operator and applied these operators to decision-making problem about the selection of the optimal production strategy. Furthermore, we shall extend the developed models and procedures to solve probabilistic decision-making problems with interval-valued intuitionistic fuzzy information. Finally, we give an illustrative example about selection of strategies to verify the developed approach and to demonstrate its feasibility and practicality. (C) 2012 Sharif University of Technology. Production and hosting by Elsevier B.V. All rights reserved.
引用
收藏
页码:1936 / 1946
页数:11
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