Abstract
Natural linguistic terms can preferably express the opinions of decision makers in complicated decision environment. Group decision making with multiplicative trapezoidal fuzzy preference relations transforming from natural linguistic terms attracts the attention of researchers for its important research significant. The developed approach is based on consensus improving process by using a new similarity measure and a trapezoidal fuzzy power ordered weighted geometric averaging (TFPOWGA) operator. In order to introduce this approach, firstly, trapezoidal fuzzy power geometric averaging operator and TFPOWGA operator are presented to aggregate trapezoidal fuzzy numbers (TFNs). Secondly, a new similarity measure for TFNs is introduced by combining centroids and areas of TFNs. We further propose a new consensus improving algorithm that consists of consensus measure and a dynamic feedback mechanism containing a multi-objective optimization model and some indirect rules. And then a selection stage is described to rank the alternatives. At last, an example is implemented to demonstrate effectiveness of the approach.
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Acknowledgements
The authors would like to thank the editor and the anonymous referees for their valuable comments and suggestions for improving the paper. The work was supported by National Natural Science Foundation of China (Nos. 71301001, 71371011, 71501002, 71272047), Project of Anhui Province for Excellent Young Talents, the Doctoral Scientific Research Foundation of Anhui University, and Scientific Research and Training Program of Anhui University (No. KYXL2016006), Innovation and Training Program of Anhui University (Nos. 201610357119, 201610357347, 201610357348, 201610357349, 201610357083), and Support and Strengthening Program of Academic Innovation Research for Graduate student of Anhui University.
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Wu, P., Wu, Q., Zhou, L. et al. A consensus model for group decision making under trapezoidal fuzzy numbers environment. Neural Comput & Applic 31, 377–394 (2019). https://doi.org/10.1007/s00521-017-3055-z
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DOI: https://doi.org/10.1007/s00521-017-3055-z