login

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

Scientia IranicaPublished 29 September 2012Open access
Guiwu Wei, José M. Merigó
Citations76
SJR quartileQ3
SJR score0.30
SNIP0.55
View PDF

TL;DR

Some new probability aggregation operators with intuitionistic fuzzy information are developed and applied to decision-making problem about the selection of the optimal production strategy and the developed models and procedures shall extend to solve probabilistic decision- making problems with interval-valued intuitionism fuzzy information.

Abstract

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.

Keywords

Decision SciencesMathematicsEngineering