| 书目名称 | Modeling Uncertainty with Fuzzy Logic |
| 副标题 | With Recent Theory a |
| 编辑 | Asli Celikyilmaz,I. Burhan Türksen |
| 视频video | |
| 概述 | Introduces the formation of type-2 fuzzy functions to capture uncertainties associated with system behaviour.Presents an uncertainty modeling approach using a new type of fuzzy system model via “Fuzzy |
| 丛书名称 | Studies in Fuzziness and Soft Computing |
| 图书封面 |  |
| 描述 | The world we live in is pervaded with uncertainty and imprecision. Is it likely to rain this afternoon? Should I take an umbrella with me? Will I be able to find parking near the campus? Should I go by bus? Such simple questions are a c- mon occurrence in our daily lives. Less simple examples: What is the probability that the price of oil will rise sharply in the near future? Should I buy Chevron stock? What are the chances that a bailout of GM, Ford and Chrysler will not s- ceed? What will be the consequences? Note that the examples in question involve both uncertainty and imprecision. In the real world, this is the norm rather than exception. There is a deep-seated tradition in science of employing probability theory, and only probability theory, to deal with uncertainty and imprecision. The mon- oly of probability theory came to an end when fuzzy logic made its debut. H- ever, this is by no means a widely accepted view. The belief persists, especially within the probability community, that probability theory is all that is needed to deal with uncertainty. To quote a prominent Bayesian, Professor Dennis Lindley, “The only satisfactory description of uncertainty is probability. |
| 出版日期 | Book 2009 |
| 关键词 | Fuzziness; Fuzzy Functions; Fuzzy Logic; Modelling Uncertainty; Type-2 Fuzzy Functions; fuzzy sets; fuzzy |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-540-89924-2 |
| isbn_softcover | 978-3-642-10063-5 |
| isbn_ebook | 978-3-540-89924-2Series ISSN 1434-9922 Series E-ISSN 1860-0808 |
| issn_series | 1434-9922 |
| copyright | Springer-Verlag Berlin Heidelberg 2009 |
发表于 2025-3-21 18:38:11
