The methods with consensus reaching process can obtain a collective solution which is supported by most of decision makers in larger-scale group decision making. However, in case decision makers who could give correct opinions are from the minority, the conventional methods with consensus reaching process can not obtain the correct answer. In this paper, a novel method is developed to tackle this challenge. The decision makers give the opinions utilizing pairwise comparisons of the alternatives from positive and negative views based on intuitionistic fuzzy preference relation. The obtained opinions are translated into intuitionistic fuzzy numbers, and are further grouped and aggregated according to the alternatives. Based on the aggregated intuitionistic fuzzy numbers, the prediction normalized rate is defined and calculated for each alternative, the alternative with the minimal prediction normalized rate is selected as correct one. The experimental results show that the proposed method can obtain the correct answer even when the actual correct opinions are reflected by a small number of decision makers.
|Title of host publication||2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)|
|Number of pages||6|
|Publication status||Published - 10 Oct 2019|
|Event||2019 IEEE International Conference on Fuzzy Systems - New Orleans, United States|
Duration: 23 Jun 2019 → 26 Jun 2019
|Conference||2019 IEEE International Conference on Fuzzy Systems|
|Period||23/06/19 → 26/06/19|