| 書(shū)目名稱(chēng) | Fuzzy Sets and Interactive Multiobjective Optimization | | 編輯 | Masatoshi Sakawa | | 視頻video | http://file.papertrans.cn/352/351361/351361.mp4 | | 叢書(shū)名稱(chēng) | Applied Information Technology | | 圖書(shū)封面 |  | | 描述 | The main characteristics of the real-world decision-making problems facing humans today are multidimensional and have multiple objectives including eco- nomic, environmental, social, and technical ones. Hence, it seems natural that the consideration of many objectives in the actual decision-making process re- quires multiobjective approaches rather than single-objective. One ofthe major systems-analytic multiobjective approaches to decision-making under constraints is multiobjective optimization as a generalization of traditional single-objective optimization. Although multiobjective optimization problems differ from single- objective optimization problems only in the plurality of objective functions, it is significant to realize that multiple objectives are often noncom mensurable and conflict with each other in multiobjective optimization problems. With this ob- servation, in multiobjective optimization, the notion of Pareto optimality or effi- ciency has been introduced instead of the optimality concept for single-objective optimization. However, decisions with Pareto optimality or efficiency are not uniquely determined; the final decision must be selected from among the set of | | 出版日期 | Book 1993 | | 關(guān)鍵詞 | Linear Programming; computer; fuzzy set; mathematical programming; optimization; programming; set theory | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4899-1633-4 | | isbn_softcover | 978-1-4899-1635-8 | | isbn_ebook | 978-1-4899-1633-4 | | copyright | Springer Science+Business Media New York 1993 |
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