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商品詳細
An Introduction to Fuzzy Linear Programming Problems: Theory, Methods and Applications. 1st ed. 2016
・ISBN 978-3-319-31273-6 hard EUR 99.99
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★★★
| 著者・編者 | Kaur, Jagdeep / Kumar, Amit, |
|---|---|
| シリーズ | (Studies in Fuzziness and Soft Computing) |
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2016 |
| ページ数 | 119 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A05-9886＞ |
解説
The book presents a snapshot of the state of the art in the field of fully fuzzy linear programming. The main focus is on showing current methods for finding the fuzzy optimal solution of fully fuzzy linear programming problems in which all the parameters and decision variables are represented by non-negative fuzzy numbers. It presents new methods developed by the authors, as well as existing methods developed by others, and their application to real-world problems, including fuzzy transportation problems. Moreover, it compares the outcomes of the different methods and discusses their advantages/disadvantages. As the first work to collect at one place the most important methods for solving fuzzy linear programming problems, the book represents a useful reference guide for students and researchers, providing them with the necessary theoretical and practical knowledge to deal with linear programming problems under uncertainty.