Fuzzy linear programming [electronic resource] : solution techniques and applications / by Seyed Hadi Nasseri, Ali Ebrahimnejad, Bing-Yuan Cao.
- 作者： Nasseri, Seyed Hadi.
- 其他作者：
- 其他題名：
- Studies in fuzziness and soft computing ;
- 出版： Cham : Springer International Publishing :Imprint: Springer 2019.
- 叢書名： Studies in fuzziness and soft computing,v.379
- 主題： Fuzzy sets. , Linear programming. , Computational Intelligence. , Artificial Intelligence.
- ISBN： 9783030174217 (electronic bk.) 、 9783030174194 (paper)
- URL：
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電子書(校內)
- 一般註：Preliminaries and Backgrounds -- Fuzzy Linear Programming -- Fuzzy Number Linear Programming -- Linear Programming with Fuzzy Variables -- Semi-Fully Fuzzy Linear Programming -- Application for the Flexible Linear Programming. E1084學校採購電子書
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讀者標籤：
- 系統號： 000274466 | 機讀編目格式
館藏資訊
This book presents the necessary and essential backgrounds of fuzzy set theory and linear programming, particularly a broad range of common Fuzzy Linear Programming (FLP) models and related, convenient solution techniques. These models and methods belong to three common classes of fuzzy linear programming, namely: (i) FLP problems in which all coefficients are fuzzy numbers, (ii) FLP problems in which the right-hand-side vectors and the decision variables are fuzzy numbers, and (iii) FLP problems in which the cost coefficients, the right-hand-side vectors and the decision variables are fuzzy numbers. The book essentially generalizes the well-known solution algorithms used in linear programming to the fuzzy environment. Accordingly, it can be used not only as a textbook, teaching material or reference book for undergraduate and graduate students in courses on applied mathematics, computer science, management science, industrial engineering, artificial intelligence, fuzzy information processes, and operations research, but can also serve as a reference book for researchers in these fields, especially those engaged in optimization and soft computing. For textbook purposes, it also includes simple and illustrative examples to help readers who are new to the field.
摘要註
This book presents the necessary and essential backgrounds of fuzzy set theory and linear programming, particularly a broad range of common Fuzzy Linear Programming (FLP) models and related, convenient solution techniques. These models and methods belong to three common classes of fuzzy linear programming, namely: (i) FLP problems in which all coefficients are fuzzy numbers, (ii) FLP problems in which the right-hand-side vectors and the decision variables are fuzzy numbers, and (iii) FLP problems in which the cost coefficients, the right-hand-side vectors and the decision variables are fuzzy numbers. The book essentially generalizes the well-known solution algorithms used in linear programming to the fuzzy environment. Accordingly, it can be used not only as a textbook, teaching material or reference book for undergraduate and graduate students in courses on applied mathematics, computer science, management science, industrial engineering, artificial intelligence, fuzzy information processes, and operations research, but can also serve as a reference book for researchers in these fields, especially those engaged in optimization and soft computing. For textbook purposes, it also includes simple and illustrative examples to help readers who are new to the field.
