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Titlebook: Intelligent Decision Making in Quality Management; Theory and Applicati Cengiz Kahraman,Seda Yanik Book 2016 Springer International Publish

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發(fā)表于 2025-3-21 18:35:54 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Intelligent Decision Making in Quality Management
副標(biāo)題Theory and Applicati
編輯Cengiz Kahraman,Seda Yanik
視頻videohttp://file.papertrans.cn/470/469607/469607.mp4
概述Presents the theoretical and empirical framework for the use of intelligent decision making methods in the field of quality control and management broadly.Introduces new intelligent solution approache
叢書名稱Intelligent Systems Reference Library
圖書封面Titlebook: Intelligent Decision Making in Quality Management; Theory and Applicati Cengiz Kahraman,Seda Yanik Book 2016 Springer International Publish
描述.?..This book presents recently developed intelligent techniques with applications and theory in the area of quality management. The involved applications of intelligence include techniques such as fuzzy sets, neural networks, genetic algorithms, etc. The book consists of classical quality management topics dealing with intelligent techniques for solving the complex quality management problems. The book will serve as an excellent reference for quality managers, researchers, lecturers and postgraduate students in this area. The authors of the chapters are well-known researchers in the area of quality management...?.
出版日期Book 2016
關(guān)鍵詞Decision Making; Intelligent Decision Making; Intelligent Systems; Quality Control; Quality Management
版次1
doihttps://doi.org/10.1007/978-3-319-24499-0
isbn_softcover978-3-319-34317-4
isbn_ebook978-3-319-24499-0Series ISSN 1868-4394 Series E-ISSN 1868-4408
issn_series 1868-4394
copyrightSpringer International Publishing Switzerland 2016
The information of publication is updating

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Intelligent Systems Reference Libraryhttp://image.papertrans.cn/i/image/469607.jpg
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,Intelligent Process Control Using Control Charts—II: Control Charts for Attributes,y attribute control charts allow flexibility in evaluating whether an item is conforming or nonconforming. Thus, it is preferred when there is ambiguity about the conformity of the item. In this chapter, crisp attribute control charts, fuzzy attribute control charts and some numerical examples are given.
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978-3-319-34317-4Springer International Publishing Switzerland 2016
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https://doi.org/10.1007/978-3-319-24499-0Decision Making; Intelligent Decision Making; Intelligent Systems; Quality Control; Quality Management
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Special Control Charts Using Intelligent Techniques: EWMA Control Charts,onducted when the out-of-control signal is from beyond the inner (tight) control limits which is considered as an opportunity for repair and calibration of all machines. We illustrate and investigate the behaviour of control parameters, namely sample size, sampling interval and control limits, via a
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