| 書目名稱 | Intelligent Strategies for Meta Multiple Criteria Decision Making |
| 編輯 | Thomas Hanne |
| 視頻video | http://file.papertrans.cn/470/469971/469971.mp4 |
| 叢書名稱 | International Series in Operations Research & Management Science |
| 圖書封面 |  |
| 描述 | Multiple criteria decision-making research has developedrapidly and has become a main area of research for dealing withcomplex decision problems which require the consideration of multipleobjectives or criteria. Over the past twenty years, numerous multiplecriterion decision methods have been developed which are able to solvesuch problems. However, the selection of an appropriate method tosolve a particular decision problem is today‘s problem for a decisionsupport researcher and decision-maker. ..Intelligent Strategies for Meta Multiple CriteriaDecision-Making. deals centrally with the problem of the numerousMCDM methods that can be applied to a decision problem. The bookrefers to this as a `meta decision problem‘, and it is this problemthat the book analyzes. The author provides two strategies to help thedecision-makers select and design an appropriate approach to a complexdecision problem. Either of these strategies can be designed into adecision support system itself. One strategy is to use machinelearning to design an MCDM method. This is accomplished by applyingintelligent techniques, namely neural networks as a structure forapproximating functions and evolutionary algorithms |
| 出版日期 | Book 2001 |
| 關鍵詞 | algorithms; decision problem; decision support system; evolution; evolutionary algorithm; learning; linear |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4615-1595-1 |
| isbn_softcover | 978-1-4613-5632-5 |
| isbn_ebook | 978-1-4615-1595-1Series ISSN 0884-8289 Series E-ISSN 2214-7934 |
| issn_series | 0884-8289 |
| copyright | Springer Science+Business Media New York 2001 |
|Archiver|手機版|小黑屋|
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