| 来源类型 | Book
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| 规范类型 | 图书
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| ISBN | 90-277-2492-X
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| Optimization Models Using Fuzzy Sets and Possibility Theory. |
| Kacprzyk JW; Orlovsky S
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| 发表日期 | 1987
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| 出版者 | D. Reidel Publishing Co., Dordrecht, Netherlands
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| 出版年 | 1987
|
| 语种 | 英语
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| 摘要 | Optimization is of central concern to a number of disciplines. Operations Research and Decision Theory are often considered to be identical with optimization. But also in other areas such as engineering design, regional policy, logistics and many others, the search for optimal solutions is one of the prime goals. The methods and models which have been used over the last decades in these areas have primarily been "hard" or "crisp", i.e. the solutions were considered to be either feasible or unfeasible, either above a certain aspiration level or below. This dichotomous structure of methods very often forced the modeler to approximate real problem situations of the more-or-less type by yes-or-no-type models, the solutions of which might turn out not to be the solutions to the real problems. This is particularly true if the problem under consideration includes vaguely defined relationships, human evaluations, uncertainty due to inconsistent or incomplete evidence, if natural language has to be modeled or if state variables can only be described approximately. |
| 主题 | General Research (GEN)
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| URL | http://pure.iiasa.ac.at/id/eprint/2893/
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| 来源智库 | International Institute for Applied Systems Analysis (Austria)
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| 资源类型 | 智库出版物
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| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/126293
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推荐引用方式
GB/T 7714 |
Kacprzyk JW,Orlovsky S. Optimization Models Using Fuzzy Sets and Possibility Theory.. 1987.
|
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