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Titlebook: Computational Intelligence Systems in Industrial Engineering; With Recent Theory a Cengiz Kahraman Book 2012 Atlantis Press 2012 Computer s

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发表于 2025-3-21 19:44:49 | 显示全部楼层 |阅读模式
书目名称Computational Intelligence Systems in Industrial Engineering
副标题With Recent Theory a
编辑Cengiz Kahraman
视频videohttp://file.papertrans.cn/233/232404/232404.mp4
概述Focus on computational intelligence for industrial engineering applications.The first book on real-world applications of computational intelligence systems.Benefit BSc, MSc and PhD students of industr
丛书名称Atlantis Computational Intelligence Systems
图书封面Titlebook: Computational Intelligence Systems in Industrial Engineering; With Recent Theory a Cengiz Kahraman Book 2012 Atlantis Press 2012 Computer s
描述Industrial engineering is a branch of engineering dealing with the optimization of complex processes or systems. It is concerned with the development, improvement, implementation and evaluation of production and service systems. Computational Intelligence Systems find a wide application area in industrial engineering: neural networks in forecasting, fuzzy sets in capital budgeting, ant colony optimization in scheduling, Simulated Annealing in optimization, etc. This book will include most of the application areas of industrial engineering through these computational intelligence systems. In the literature, there is no book including many real and practical applications of Computational Intelligence Systems from the point of view of Industrial Engineering. Every chapter will include explanatory and didactic applications. It is aimed that the book will be a main source for MSc and PhD students.
出版日期Book 2012
关键词Computer science; Decision sciences; Engineering; Fuzzy logic and neural networks; Industrial engineerin
版次1
doihttps://doi.org/10.2991/978-94-91216-77-0
isbn_softcover978-94-6239-054-6
isbn_ebook978-94-91216-77-0Series ISSN 1875-7650 Series E-ISSN 2215-1710
issn_series 1875-7650
copyrightAtlantis Press 2012
The information of publication is updating

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https://doi.org/10.1007/978-981-10-1448-2he multilayer indicators into one overall index. Comparison of the results based on the three models (i.e. the classical TOPSIS, the fuzzy TOPSIS, and the hierarchical fuzzy TOPSIS) demonstrates the effectiveness of applying the hierarchical fuzzy TOPSIS method to handle the problem of linguistic ex
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Sieb Nooteboom,Fred Weerman,Frank Wijnennstances with various sizes and levels of hardness and compared with other approaches reported in some existing literatures. The computational results validate the effectiveness of the proposed algorithm.
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Can Fuzzy Logic Formalism Bring Complex Environmental Issues into Focus?,igh visibility. But what is not widely not recognized is that these successes mask a fundamental limitation-the inability to operate on what may be called perception—based information. Fuzzy logic based formalism presented in this paper can model the two types of uncertainties, thereby straightway d
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Fuzzy Failure Rate for Nuclear Power Plant Probabilistic Safety Assessment by Fault Tree Analysis,istically calculated from historical failure data. A simplified model of a high pressure core spray system is used to mathematically proof the proposed algorithm and defuzzification technique. The results show that fuzzy failure rates can be used in nuclear power plant probabilistic safety assessmen
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