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Titlebook: Advances in the Theory of Probabilistic and Fuzzy Data Scientific Methods with Applications; József Dombi,Tamás Jónás Book 2021 The Editor

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樓主: ISH
11#
發(fā)表于 2025-3-23 11:32:00 | 只看該作者
12#
發(fā)表于 2025-3-23 16:06:27 | 只看該作者
Advances in the Theory of Probabilistic and Fuzzy Data Scientific Methods with Applications978-3-030-51949-0Series ISSN 1860-949X Series E-ISSN 1860-9503
13#
發(fā)表于 2025-3-23 20:47:18 | 只看該作者
,Development of China’s Port Logistics,ard approach to modeling uncertainty, there are situations where it is not the best approach to representing information. With the aim of filling this gap, over the past decades, various generalizations and alternatives have been developed for probability theory.
14#
發(fā)表于 2025-3-24 01:16:42 | 只看該作者
15#
發(fā)表于 2025-3-24 04:17:58 | 只看該作者
Bing-lian Liu,Shao-ju Lee,Zhi-lun Jiaog future values of time series that represent sales, stock price, product demand, level of inventory, revenue and profit are primary issues in the field of forecasting. Due to the dynamic nature of time series data, which is highly non-stationary and uncertain, the decision making process may become quite wearisome[.].
16#
發(fā)表于 2025-3-24 08:49:34 | 只看該作者
,Development of China’s Port Logistics,In many situations, the application of traditional additive measures is not sufficient to describe the uncertainty appropriately. Therefore, new demands have arisen for not necessarily additive, but monotone (fuzzy) measures. Since these measures play an important role in describing various phenomena, there is an increasing interest in them.
17#
發(fā)表于 2025-3-24 13:45:59 | 只看該作者
Bing-lian Liu,Shao-ju Lee,Zhi-lun JiaoIn social sciences, as well as in economics and in many other areas of science, Likert scales are generally applied for evaluating various characteristics. A Likert scale is a discrete scale, which may be viewed as an ordered finite set of pre-defined categories.
18#
發(fā)表于 2025-3-24 16:21:40 | 只看該作者
-Additive and ,-Additive Measures,In many situations, the application of traditional additive measures is not sufficient to describe the uncertainty appropriately. Therefore, new demands have arisen for not necessarily additive, but monotone (fuzzy) measures. Since these measures play an important role in describing various phenomena, there is an increasing interest in them.
19#
發(fā)表于 2025-3-24 20:18:04 | 只看該作者
20#
發(fā)表于 2025-3-25 01:07:29 | 只看該作者
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