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Titlebook: Advances in Fuzzy Decision Making; Theory and Practice Iwona Skalna,Bogdan R?biasz,Tomasz Pe?ech-Pilichow Book 2015 Springer International

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發(fā)表于 2025-3-21 19:06:27 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Advances in Fuzzy Decision Making
期刊簡稱Theory and Practice
影響因子2023Iwona Skalna,Bogdan R?biasz,Tomasz Pe?ech-Pilichow
視頻videohttp://file.papertrans.cn/149/148092/148092.mp4
發(fā)行地址cutting-edge research in fuzzy decision theory and applications.how to deal with uncertain and incomplete information in decision-making.Includespractical case-studies on real-life management problems
學(xué)科分類Studies in Fuzziness and Soft Computing
圖書封面Titlebook: Advances in Fuzzy Decision Making; Theory and Practice Iwona Skalna,Bogdan R?biasz,Tomasz Pe?ech-Pilichow Book 2015 Springer International
影響因子.Thisbook shows how common operation management methods and algorithms can beextended to deal with vague or imprecise information in decision-makingproblems. It describes how to combine decision trees, clustering,multi-attribute decision-making algorithms and Monte Carlo Simulation with themathematical description of imprecise or vague information, and how tovisualize such information. Moreover, it discusses a broad spectrum ofreal-life management problems including forecasting the apparentconsumption of steel products, planning and scheduling of production processes,project portfolio selection and economic-risk estimation. It is a concise, yetcomprehensive, reference source for researchers in decision-making anddecision-makers in business organizations alike..
Pindex Book 2015
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Book 2015oblems. It describes how to combine decision trees, clustering,multi-attribute decision-making algorithms and Monte Carlo Simulation with themathematical description of imprecise or vague information, and how tovisualize such information. Moreover, it discusses a broad spectrum ofreal-life managemen
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Chemistry of Waste Minimizationd structure of the analysed products. Whereas, fuzzy decision tree learning are used to determine the dependencies between consumption patterns and predictors. The proposed method is verified using the extensive statistical material on the level and structure of steel products consumption in selected countries in the years 1960–2010.
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Advances in Fuzzy Decision Making978-3-319-26494-3Series ISSN 1434-9922 Series E-ISSN 1860-0808
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https://doi.org/10.1007/978-3-7091-3328-6ce cannot be compared. However, in practical applications, such as decision making, scheduling, market analysis or optimisation with fuzzy uncertainties, the comparison of fuzzy numbers becomes crucial.
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