Abstract
In this article, a new method for aggregating fuzzy individual opinions into a group consensus opinion is proposed. To obtain the aggregation weights of each individual opinion, a consistency index of each expert with the other experts is introduced based on similarity and distance. The importance of each expert is also taken into consideration in the process of aggregation. Finally, a numerical example is presented to illustrate the efficiency of the procedure.
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Lu, C., Lan, J. & Wang, Z. Aggregation of Fuzzy Opinions Under Group Decision-Making Based on Similarity and Distance. Jrl Syst Sci & Complex 19, 63–71 (2006). https://doi.org/10.1007/s11424-006-0063-y
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DOI: https://doi.org/10.1007/s11424-006-0063-y