Abstract
The use of fuzzy linguistic expressions in group decision making process has been considered by several authors. However, to the best of our knowledge, none have applied Type2 Fuzzy Multi Attribute Group Decision Making (T2F-MAGDM), where referees are weighted based on their credibility and the level of their knowledge in the specific area by linguistic terms. In this paper, a T2F-MAGDM model, with the capability of considering different linguistic weights for the credibility of the experts, is presented.
This model is designed in three stages, including collecting data from experts, aggregating the data and ranking the alternatives. Stage2 carries out the processes of Linguistic Weighted Averaging (LWA) using type-2 fuzzy sets. Finally, the effectiveness of the proposed T2F-MAGDM model has been evaluated for the FMEA problem.
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Husseini, Z.M., Zarandi, M.H.F. (2018). Type-2 Fuzzy Approach in Multi Attribute Group Decision Making Problem. In: Melin, P., Castillo, O., Kacprzyk, J., Reformat, M., Melek, W. (eds) Fuzzy Logic in Intelligent System Design. NAFIPS 2017. Advances in Intelligent Systems and Computing, vol 648. Springer, Cham. https://doi.org/10.1007/978-3-319-67137-6_8
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DOI: https://doi.org/10.1007/978-3-319-67137-6_8
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