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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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書目名稱Uncertainty Management with Fuzzy and Rough Sets
副標題Recent Advances and
編輯Rafael Bello,Rafael Falcon,José Luis Verdegay
視頻videohttp://file.papertrans.cn/942/941093/941093.mp4
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
叢書名稱Studies in Fuzziness and Soft Computing
圖書封面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
關鍵詞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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