| 書目名稱 | Cooperative and Noncooperative Multi-Level Programming |
| 編輯 | Ichiro Nishizaki,Masatoshi Sakawa |
| 視頻video | http://file.papertrans.cn/239/238023/238023.mp4 |
| 概述 | Presents the latest advances in the new field of multi-level mathematical programming problems in fuzzy, multi-objective, and uncertain environments.Provides mathematical models that can be used to so |
| 叢書名稱 | Operations Research/Computer Science Interfaces Series |
| 圖書封面 |  |
| 描述 | To derive rational and convincible solutions to practical decision making problems in complex and hierarchical human organizations, the decision making problems are formulated as relevant mathematical programming problems which are solved by developing optimization techniques so as to exploit characteristics or structural features of the formulated problems. In particular, for resolving con?ict in decision making in hierarchical managerial or public organizations, the multi level formula tion of the mathematical programming problems has been often employed together with the solution concept of Stackelberg equilibrium. However,weconceivethatapairoftheconventionalformulationandthesolution concept is not always suf?cient to cope with a large variety of decision making situations in actual hierarchical organizations. The following issues should be taken into consideration in expression and formulation of decision making problems. Informulationofmathematicalprogrammingproblems,itistacitlysupposedthat decisions are made by a single person while game theory deals with economic be havior of multiple decision makers with fully rational judgment. Because two level mathematical programming pr |
| 出版日期 | Book 2009 |
| 關(guān)鍵詞 | Stochastic Programming; algorithm; algorithms; fuzzy; game theory; genetic algorithms; linear optimization |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4419-0676-2 |
| isbn_softcover | 978-1-4614-1719-4 |
| isbn_ebook | 978-1-4419-0676-2Series ISSN 1387-666X Series E-ISSN 2698-5489 |
| issn_series | 1387-666X |
| copyright | Springer-Verlag US 2009 |