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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書目名稱Advances in Fuzzy Decision Making影響因子(影響力)




書目名稱Advances in Fuzzy Decision Making影響因子(影響力)學(xué)科排名




書目名稱Advances in Fuzzy Decision Making網(wǎng)絡(luò)公開度




書目名稱Advances in Fuzzy Decision Making網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Advances in Fuzzy Decision Making被引頻次




書目名稱Advances in Fuzzy Decision Making被引頻次學(xué)科排名




書目名稱Advances in Fuzzy Decision Making年度引用




書目名稱Advances in Fuzzy Decision Making年度引用學(xué)科排名




書目名稱Advances in Fuzzy Decision Making讀者反饋




書目名稱Advances in Fuzzy Decision Making讀者反饋學(xué)科排名

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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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