Titlebook: Uncertainty Management with Fuzzy and Rough Sets; Recent Advances and Rafael Bello,Rafael Falcon,José Luis Verdegay Book 2019 Springer Nat

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A Proposal of Hybrid Fuzzy Clustering Algorithm with Application in Condition Monitoring of Industrine detection of novel faults and automatic learning. The proposal, initially identifies the outliers based on data density. Later, the outliers are removed and the clustering process is performed. To extract the important features and improve the clustering, the maximum-entropy-regularized weighted

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Solving a Fuzzy Tourist Trip Design Problem with Clustered Points of Interestpoints of interest to visit. We propose a new variant, in our view more realistic, where on the one hand, the points of interest are clustered in various categories and on the other, the scores and travel time constraints are fuzzy. In this work time constraints are modeled as fuzzy. A fuzzy optimiz

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Uncertain Production Planning Using Fuzzy Simulationpresents a method for simulating a production planning scenario where tasks have no probabilistic execution times, using experts opinions. We use fuzzy execution times to simulate the mean flow time of the system under non-probabilistic uncertainty.

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Ideal Reference Method with Linguistic Labels: A Comparison with LTOPSISols to solve these kinds of problems as efficiently as possible. In this paper, we describe the elements that integrate a decision making model, as well as show some of the compensatory multicriteria decision making methods such as TOPSIS, VIKOR or RIM, that are most used. In particular, we identify

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