A consensus model for group decision making under interval type-2 fuzzy environment
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We propose a new consensus model for group decision making (GDM) problems, using an interval type-2 fuzzy environment. In our model, experts are asked to express their preferences using linguistic terms characterized by interval type-2 fuzzy sets (IT2 FSs), because these can provide decision makers with greater freedom to express the vagueness in real-life situations. Consensus and proximity measures based on the arithmetic operations of IT2 FSs are used simultaneously to guide the decision-making process. The majority of previous studies have taken into account only the importance of the experts in the aggregation process, which may give unreasonable results. Thus, we propose a new feedback mechanism that generates different advice strategies for experts according to their levels of importance. In general, experts with a lower level of importance require a larger number of suggestions to change their initial preferences. Finally, we investigate a numerical example and execute comparable models and ours, to demonstrate the performance of our proposed model. The results indicate that the proposed model provides greater insight into the GDM process.
Key wordsGroup decision making (GDM) Interval type-2 fuzzy sets (IT2 FSs) Feedback mechanism
CLC numberO159 O22
- Cabrerizo, F.J., Herrera-Viedma, E., Pedrycz, W., 2013. A method based on PSO and granular computing of linguistic information to solve group decision making problems defined in heterogeneous contexts. Eur. J. Oper. Res., 230(3):624–633. http://dx.doi.org/10.1016/j.ejor.2013.04.046MathSciNetCrossRefGoogle Scholar