4.4 Article

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

Journal

SCIENTIA IRANICA
Volume 19, Issue 6, Pages 1936-1946

Publisher

SHARIF UNIV TECHNOLOGY
DOI: 10.1016/j.scient.2012.07.017

Keywords

Strategic decision-making; Intuitionistic fuzzy values; Interval-valued intuitionistic fuzzy values; Operational laws; Probabilistic aggregating operators

Funding

  1. National Natural Science Foundation of China [61174149]
  2. Natural Science Foundation Project of CQ CSTC of the People's Republic of China [CSTC, 2011BA0035]
  3. Humanities and Social Sciences Foundation of Ministry of Education of the People's Republic of China [11XJC630011, 10XJA630008]
  4. China Postdoctoral Science Foundation [20100480269]
  5. Science and Technology Research Foundation of Chongqing Education Commission [KJ111214]

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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.

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