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Titlebook: Design Considerations of Time in Fuzzy Systems; Jernej Virant Book 2000 Springer Science+Business Media Dordrecht 2000 Calculation.functio

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发表于 2025-3-21 18:56:18 | 显示全部楼层 |阅读模式
书目名称Design Considerations of Time in Fuzzy Systems
编辑Jernej Virant
视频video
丛书名称Applied Optimization
图书封面Titlebook: Design Considerations of Time in Fuzzy Systems;  Jernej Virant Book 2000 Springer Science+Business Media Dordrecht 2000 Calculation.functio
描述Fuzzy theory is an interesting name for a method that has been highly effective in a wide variety of significant, real-world applications. A few examples make this readily apparent. As the result of a faulty design the method of computer-programmed trading, the biggest stock market crash in history was triggered by a small fraction of a percent change in the interest rate in a Western European country. A fuzzy theory ap­ proach would have weighed a number of relevant variables and the ranges of values for each of these variables. Another example, which is rather simple but pervasive, is that of an electronic thermostat that turns on heat or air conditioning at a specific temperature setting. In fact, actual comfort level involves other variables such as humidity and the location of the sun with respect to windows in a home, among others. Because of its great applied significance, fuzzy theory has generated widespread activity internationally. In fact, institutions devoted to research in this area have come into being. As the above examples suggest, Fuzzy Systems Theory is of fundamen­ tal importance for the analysis and design of a wide variety of dynamic systems. This clearly mani
出版日期Book 2000
关键词Calculation; function; fuzziness; fuzzy set; fuzzy system; mathematics
版次1
doihttps://doi.org/10.1007/978-1-4615-4673-3
isbn_softcover978-1-4613-7115-1
isbn_ebook978-1-4615-4673-3Series ISSN 1384-6485
issn_series 1384-6485
copyrightSpringer Science+Business Media Dordrecht 2000
The information of publication is updating

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Fuzzy Operations and Relationserm. This brings us to the interesting issue of the connectivity or the interaction between the named variables and values. In this Chapter we will focus our attention on the various connections and relations between fuzzy sets; two given fuzzy sets . and . are somehow connected to produce a new fuz
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Fuzzy Functionsmake certain generalizations with regard to the values, sets and variables used in ordinary mathematics. The same holds for the development of the fuzzy function concept. Fuzzy functions are treated within a relatively large area of research known as fuzzy analysis. We have no desire to discuss the
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Temporality in Fuzzy Inference Machinestion (interval variable), time-shift (to past, present or future) and temporal operator D by which delay can be expressed. In previous chapters mainly the first two items of Table 8.1 have been examined. In this Chapter we would like to look at the background of items . and ., within the domain of f
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