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An interactive method for multiple criteria group decision analysis based on interval type-2 fuzzy sets and its application to medical decision making

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Abstract

The theory of interval type-2 fuzzy sets provides an intuitive and computationally feasible way of addressing uncertain and ambiguous information in decision-making fields. The aim of this paper is to develop an interactive method for handling multiple criteria group decision-making problems, in which information about criterion weights is incompletely (imprecisely or partially) known and the criterion values are expressed as interval type-2 trapezoidal fuzzy numbers. With respect to the relative importance of multiple decision-makers and group consensus of fuzzy opinions, a hybrid averaging approach combining weighted averages and ordered weighted averages was employed to construct the collective decision matrix. An integrated programming model was then established based on the concept of signed distance-based closeness coefficients to determine the importance weights of criteria and the priority ranking of alternatives. Subsequently, an interactive procedure was proposed to modify the model according to the decision-makers’ feedback on the degree of satisfaction toward undesirable solution results for the sake of gradually improving the integrated model. The feasibility and applicability of the proposed methods are illustrated with a medical decision-making problem of patient-centered medicine concerning basilar artery occlusion. A comparative analysis with other approaches was performed to validate the effectiveness of the proposed methodology.

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Acknowledgments

The author is very grateful to the respected editor and the anonymous referees for their insightful and constructive comments, which helped to improve the overall quality of the paper. Special thanks are due to Dr. Chien-Hung Chang (Stroke Center and Stroke Section, Department of Neurology, Linkou Medical Center, Chang Gung Memorial Hospital) for providing me with the sample case. This research is financially supported by the National Science Council of Taiwan (Grant Nos. NSC 99-2410- H-182-022-MY3 and NSC 100-2632-H-182- 001-MY2).

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  1. Department of Industrial and Business Management, Graduate Institute of Business and Management, College of Management, Chang Gung University, 259, Wen-Hwa 1st Road, Kwei-Shan, Taoyuan, 333, Taiwan

    Ting-Yu Chen

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Correspondence to Ting-Yu Chen.

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Chen, TY. An interactive method for multiple criteria group decision analysis based on interval type-2 fuzzy sets and its application to medical decision making. Fuzzy Optim Decis Making 12, 323–356 (2013). https://doi.org/10.1007/s10700-013-9158-9

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