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

Expressly

CRANK

Similar Prototype Methods for Class Imbalanced Data Classificationtion of the universe, similarity classes are generated and a prototype is selected for each similarity class. Experimental results show that the performance of our methods is statistically superior to other imbalanced methods.

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樹木心

consent

史前

Bph773

Fuzzy Activation of Rough Cognitive Ensembles Using OWA Operatorsdifferent granularity degree. While this model is capable of outperforming several traditional classifiers reported in the literature, there is still room for enhancing its performance. In this paper, we propose a fuzzy strategy to activate the RCN input neurons before performing the inference proce

glans-penis

Book 2019ium on Fuzzy and Rough Sets, ISFUROS 2017, held in Varadero, Cuba, on October 24-26, 2017, the book also covers related approaches, such as hybrid rough-fuzzy sets and hybrid fuzzy-rough sets and granular computing, as well as a number of applications, from big data analytics, to business intelligen

BET

1434-9922 their applications to key problems in operations research.In.This book offers a timely overview of fuzzy and rough set theories and methods. Based on selected contributions presented at the International Symposium on Fuzzy and Rough Sets, ISFUROS 2017, held in Varadero, Cuba, on October 24-26, 2017,

本土

Solving a Fuzzy Tourist Trip Design Problem with Clustered Points of Interestation approach and an efficient greedy randomized adaptive search procedure are applied to solve the problem. The computational experiments indicate that this soft computing approach is able to find significant solutions.