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A cluster-based dissimilarity learning approach for localized fault classification in Smart Grids.

, , and . Swarm Evol. Comput., (2018)

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Modeling Complex Concepts with Type-2 Fuzzy Sets: The Case of User Satisfaction of Online Services., , and . Advances in Type-2 Fuzzy Sets and Systems, volume 301 of Studies in Fuzziness and Soft Computing, Springer, (2013)Identifying user habits through data mining on call data records., , , and . Eng. Appl. Artif. Intell., (2016)Aggregating α-planes for Type-2 fuzzy set matching., , , and . IFSA/NAFIPS, page 860-865. IEEE, (2013)Matching general type-2 fuzzy sets by comparing the vertical slices., , , and . IFSA/NAFIPS, page 866-871. IEEE, (2013)Spam detection system: A new approach based on interval type-2 fuzzy sets., and . CCECE, page 379-384. IEEE, (2011)On the accessibility/controllability of fuzzy control systems., , and . Inf. Sci., (2012)Topic specific emotion detection for retweet prediction., , and . Int. J. Machine Learning & Cybernetics, 10 (8): 2071-2083 (2019)An Agent-Based Algorithm exploiting Multiple Local Dissimilarities for Clusters Mining and Knowledge Discovery., , , , and . CoRR, (2014)Characterization of Graphs for Protein Structure Modeling and Recognition of Solubility., , and . CoRR, (2014)Distinguishability of interval type-2 fuzzy sets data by analyzing upper and lower membership functions., , , and . Appl. Soft Comput., (2014)