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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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书目名称Uncertainty Management with Fuzzy and Rough Sets
副标题Recent Advances and
编辑Rafael Bello,Rafael Falcon,José Luis Verdegay
视频video
概述Presents a number of fuzzy-logic based methods for managing uncertainty in different areas of science.Describes cutting-edge approaches and their applications to key problems in operations research.In
丛书名称Studies in Fuzziness and Soft Computing
图书封面Titlebook: Uncertainty Management with Fuzzy and Rough Sets; Recent Advances and  Rafael Bello,Rafael Falcon,José Luis Verdegay Book 2019 Springer Nat
描述.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, 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 intelligence, security, robotics, logistics, wireless sensor networks and many more. It is intended as a source of inspiration for PhD students and researchers in the field, fostering not only new ideas but also collaboration between young researchers and institutions and established ones..
出版日期Book 2019
关键词Fuzzy Clustering; Fuzzy Constraints; Tourist Trip Design Problem; ISFUROS 2017; Optimal Bucket Order Pro
版次1
doihttps://doi.org/10.1007/978-3-030-10463-4
isbn_ebook978-3-030-10463-4Series ISSN 1434-9922 Series E-ISSN 1860-0808
issn_series 1434-9922
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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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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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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nsitivity. The experimental progress in the characterization of surfaces using light has been summarized in a couple of excellent reviews and monographs [6.1–6.5]. Theoretical considerations can be found in review articles by R. Del Sole [6.6,6.7].
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Adrián Rodríguez-Ramos,Antônio José da Silva Neto,Orestes Llanes-Santiagoers in consolidating their knowledge and to give practice in analytical techniques. Eight appendices provide the mathematical tools that are useful in understanding the main text. .978-3-030-75345-0978-3-030-75343-6
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