| 书目名称 | Combining Fuzzy Imprecision with Probabilistic Uncertainty in Decision Making | | 编辑 | Janusz Kacprzyk,Mario Fedrizzi | | 视频video | | | 丛书名称 | Lecture Notes in Economics and Mathematical Systems | | 图书封面 |  | | 描述 | In the literature of decision analysis it is traditional to rely on the tools provided by probability theory to deal with problems in which uncertainty plays a substantive role. In recent years, however, it has become increasingly clear that uncertainty is a mul tifaceted concept in which some of the important facets do not lend themselves to analysis by probability-based methods. One such facet is that of fuzzy imprecision, which is associated with the use of fuzzy predicates exemplified by small, large, fast, near, likely, etc. To be more specific, consider a proposition such as "It is very unlikely that the price of oil will decline sharply in the near future," in which the italicized words play the role of fuzzy predicates. The question is: How can one express the mean ing of this proposition through the use of probability-based methods? If this cannot be done effectively in a probabilistic framework, then how can one employ the information provided by the proposition in question to bear on a decision relating to an investment in a company engaged in exploration and marketing of oil? As another example, consider a collection of rules of the form "If X is Ai then Y is B,," j = | | 出版日期 | Book 1988 | | 关键词 | Probability theory; Random variable; decision making; fuzzy sets; linear optimization; optimization; simul | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-642-46644-1 | | isbn_softcover | 978-3-540-50005-6 | | isbn_ebook | 978-3-642-46644-1Series ISSN 0075-8442 Series E-ISSN 2196-9957 | | issn_series | 0075-8442 | | copyright | Springer-Verlag Berlin Heidelberg 1988 |
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发表于 2025-3-21 19:58:10
