| 书目名称 | Generalized Concavity in Fuzzy Optimization and Decision Analysis | | 编辑 | Jaroslav Ramík,Milan Vlach | | 视频video | | | 丛书名称 | International Series in Operations Research & Management Science | | 图书封面 |  | | 描述 | Convexity of sets in linear spaces, and concavity and convexityof functions, lie at the root of beautiful theoretical results thatare at the same time extremely useful in the analysis and solution ofoptimization problems, including problems of either single objectiveor multiple objectives. Not all of these results rely necessarily onconvexity and concavity; some of the results can guarantee that eachlocal optimum is also a global optimum, giving these methods broaderapplication to a wider class of problems. Hence, the focus of thefirst part of the book is concerned with several types of generalizedconvex sets and generalized concave functions. In addition to theirapplicability to nonconvex optimization, these convex sets andgeneralized concave functions are used in the book‘s second part,where decision-making and optimization problems under uncertainty areinvestigated. .Uncertainty in the problem data often cannot be avoided when dealingwith practical problems. Errors occur in real-world data for a host ofreasons. However, over the last thirty years, the fuzzy set approachhas proved to be useful in these situations. It is this approach tooptimization under uncertainty that is exten | | 出版日期 | Book 2002 | | 关键词 | addition; calculus; optimization; scheduling; sets | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4615-1485-5 | | isbn_softcover | 978-1-4613-5577-9 | | isbn_ebook | 978-1-4615-1485-5Series ISSN 0884-8289 Series E-ISSN 2214-7934 | | issn_series | 0884-8289 | | copyright | Springer Science+Business Media New York 2002 |
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发表于 2025-3-21 16:37:53
