Name
Title | ||
|---|---|---|
A clustering method based on dominance for triangular fuzzy numbers in subjective decision-making |
Abstract | ||
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In the studies, a fuzzy clustering method based on dominance for triangular fuzzy numbers was proposed. In this proposed method, the dominance of interval numbers was applied to sort directly the final clustering relationships matrix of subjective interval numbers in decision-making. The clustering model for triangular interval numbers was constructed to calculate exactly the final clustering relationships among subjective interval numbers. The expected value was used as decision-making focus among interval numbers with considering the subjective decision-making risk attitude. Finally, cases of improved fuzzy clustering method and clustering based on subjective rating comments were provided. Comparative results analysis proved the effectiveness of the improved clusering method in subjective decision-making. And it had a good performance to increase the distinguishability between final cluser result and the rest clusters. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/ICACI.2015.7184766 | 2015 Seventh International Conference on Advanced Computational Intelligence (ICACI) |
Keywords | Field | DocType |
triangular fuzzy numbers,subjective decision-making,fuzzy clustering method,dominance,clustering relationships matrix,subjective interval numbers,clustering model,triangular interval numbers,risk attitude | k-medians clustering,Data mining,Fuzzy clustering,Correlation clustering,Matrix (mathematics),sort,Expected value,Cluster analysis,Fuzzy number,Mathematics | Conference |
ISBN | Citations | PageRank |
978-1-4799-7257-9 | 0 | 0.34 |
References | Authors | |
2 | 1 | |