| 書目名稱 | Quantitative Pareto Analysis by Cone Separation Technique | | 編輯 | Ignacy Kaliszewski | | 視頻video | http://file.papertrans.cn/781/780945/780945.mp4 | | 圖書封面 |  | | 描述 | This work results from my interest in the field of vector optimiza- tion. I stumbled first upon this subject in 1982 during my six months visit to the Istituto di Elaborazione della Informazione in Pisa, Italy, supported by a fellowship of the (Italian) Consiglio Nationale delle Richerche. I was attracted then by a gap between vector optimiza- tion used to serve as a formal model for multiple objective decision problems and the decision problems themselves, the gap nonexis- tent in scalar optimization. Roughly speaking, vector optimization provides methods for ranking decisions according to a partial order whereas decision making requires a linear ordering of decisions. The book deals with vector optimization. However, vector opti- mization is considered here not only as a topic of research in itself but also as a basic tool for decision making. In consequence, all results presented here are aimed at exploiting and understanding the structure of elements (decisions) framed by a vector optimiza- tion problem with the underlying assumption that the results should be interpretable in terms and applicable in the context of decision making. Computational tractability of results is there | | 出版日期 | Book 1994 | | 關(guān)鍵詞 | Approximation; Vector optimization; calculus; model; optimization | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4615-2772-5 | | isbn_softcover | 978-1-4613-6197-8 | | isbn_ebook | 978-1-4615-2772-5 | | copyright | Springer Science+Business Media New York 1994 |
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