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Titlebook: Optimal Models and Methods with Fuzzy Quantities; Bing-Yuan Cao Book 20101st edition Springer-Verlag Berlin Heidelberg 2010 Analysis.Regre

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發(fā)表于 2025-3-21 18:33:34 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Optimal Models and Methods with Fuzzy Quantities
編輯Bing-Yuan Cao
視頻videohttp://file.papertrans.cn/703/702899/702899.mp4
概述Studies optimized model with fuzzy quantities
叢書名稱Studies in Fuzziness and Soft Computing
圖書封面Titlebook: Optimal Models and Methods with Fuzzy Quantities; Bing-Yuan Cao Book 20101st edition Springer-Verlag Berlin Heidelberg 2010 Analysis.Regre
描述.The book contains ten chapters as follows, Prepare Knowledge, Regression and Self-regression Models with Fuzzy Coefficients; Regression and Self-regression Models with Fuzzy Variables,?Fuzzy Input/output Model, Fuzzy Cluster Analysis and Fuzzy Recognition, ?Fuzzy Linear Programming, Fuzzy Geometric Programming,?Fuzzy Relative Equation and Its Optimizing, Interval and Fuzzy Differential Equations and Interval and Fuzzy Functional and Their Variation...It can not only be used as teaching materials or reference books for under-graduates in higher education, master graduates and doctor graduates in the courses of applied mathematics, computer science, artificial intelligence, fuzzy information process and automation, operations research, system science and engineering, and the like, but also serves as a reference book for researchers in these fields, particularly, for researchers in soft science..
出版日期Book 20101st edition
關(guān)鍵詞Analysis; Regression; artificial intelligence; automation; cognition; fuzzy; intelligence; knowledge; linear
版次1
doihttps://doi.org/10.1007/978-3-642-10712-2
isbn_softcover978-3-642-26248-7
isbn_ebook978-3-642-10712-2Series ISSN 1434-9922 Series E-ISSN 1860-0808
issn_series 1434-9922
copyrightSpringer-Verlag Berlin Heidelberg 2010
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 23:52:46 | 只看該作者
https://doi.org/10.1007/978-3-642-10712-2Analysis; Regression; artificial intelligence; automation; cognition; fuzzy; intelligence; knowledge; linear
板凳
發(fā)表于 2025-3-22 03:19:51 | 只看該作者
978-3-642-26248-7Springer-Verlag Berlin Heidelberg 2010
地板
發(fā)表于 2025-3-22 07:30:00 | 只看該作者
Optimal Models and Methods with Fuzzy Quantities978-3-642-10712-2Series ISSN 1434-9922 Series E-ISSN 1860-0808
5#
發(fā)表于 2025-3-22 12:39:49 | 只看該作者
6#
發(fā)表于 2025-3-22 15:06:51 | 只看該作者
Prepare Knowledge,zzy relation, it introduces a fuzzy operator related to this chapter, and it exhibits fuzzy function. At the same time, it describes fuzzy mathematics of three mainstream theorems—expansion principle, decomposition theorem and representation theorem. Finally, it inquires into five-type fuzzy numbers and its operations.
7#
發(fā)表于 2025-3-22 19:05:09 | 只看該作者
8#
發(fā)表于 2025-3-22 21:55:20 | 只看該作者
Fuzzy Input-Output Model,Focus on expansion of a classical input-output model, this chapter introduces a fuzzy input-output model first, then inquires an input-output model with .-fuzzy data and its application, and presents an input-output model with triangle fuzzy data finally.
9#
發(fā)表于 2025-3-23 02:02:22 | 只看該作者
Fuzzy Cluster Analysis and Fuzzy Recognition,A fuzzy cluster analysis as well as fuzzy recognition is introduced in this chapter. First, fuzzy cluster analysis with . -fuzzy data is developed, and fuzzy recognition with .-fuzzy data is exhibited secondly.
10#
發(fā)表于 2025-3-23 09:36:19 | 只看該作者
Prepare Knowledge,zzy relation, it introduces a fuzzy operator related to this chapter, and it exhibits fuzzy function. At the same time, it describes fuzzy mathematics of three mainstream theorems—expansion principle, decomposition theorem and representation theorem. Finally, it inquires into five-type fuzzy numbers
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