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Titlebook: Expert Fuzzy Information Processing; Olga Poleshchuk,Evgeniy Komarov Book 2011 Springer Berlin Heidelberg 2011 Defuzzification Methods.Exp

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發(fā)表于 2025-3-21 16:28:28 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Expert Fuzzy Information Processing
編輯Olga Poleshchuk,Evgeniy Komarov
視頻videohttp://file.papertrans.cn/320/319144/319144.mp4
概述Recent research in Expert Fuzzy Information Processing.Deals with expert estimation models in the form of semantic spaces with completeness and orthogonality properties.Written by leading experts in t
叢書名稱Studies in Fuzziness and Soft Computing
圖書封面Titlebook: Expert Fuzzy Information Processing; Olga Poleshchuk,Evgeniy Komarov Book 2011 Springer Berlin Heidelberg 2011 Defuzzification Methods.Exp
描述.This book deals with expert evaluation models in the form of semantic spaces with completeness and orthogonality properties (complete orthogonal semantic spaces). Theoretical and practical studies of some researchers have shown that these spaces describe expert evaluations most adequately, and as a result they were often included in more sophisticated models of intellectual systems for decision making and data analysis. Methods for constructing expert evaluation models of characteristics, comparative analysis of these models, studies of structural composition of their sets and constructing of generalized models are described. Models to obtain rating points for objects and groups of objects with qualitative and quantitative characteristics are presented. A number of regression models combining elements of classical and fuzzy regressions are presented. .All methods and models developed by the authors and described in the book are illustrated with examples from various fields of human activities..This book meant for scientists in the field of computer science, expert systems, artificial intelligence and decision making; and also for engineers, post-graduate students and students who
出版日期Book 2011
關(guān)鍵詞Defuzzification Methods; Expert Estimation Model; Fuzzy Cluster Analysis; Fuzzy Regression Analysis; Rat
版次1
doihttps://doi.org/10.1007/978-3-642-20125-7
isbn_softcover978-3-642-26787-1
isbn_ebook978-3-642-20125-7Series ISSN 1434-9922 Series E-ISSN 1860-0808
issn_series 1434-9922
copyrightSpringer Berlin Heidelberg 2011
The information of publication is updating

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發(fā)表于 2025-3-21 23:28:39 | 只看該作者
Ratings of Objects,cision making problems [154-166]. These systems make it possible to get available and timely information in the form of an aggregative index and to use it in decision making problems. The complexity of obtaining rating points for objects with qualitative characteristics results from the general comp
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發(fā)表于 2025-3-22 03:48:29 | 只看該作者
Complete Orthogonal Semantic Spaces in Problems of the Fuzzy Regression Analysis,eing actively developed have already considerably expanded boundaries of application of classical regression analysis methods, i.e. they allow to construct the regression relations on the basis of fuzzy initial information. Besides, this information can be of both quantitative and qualitative nature
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發(fā)表于 2025-3-22 04:52:19 | 只看該作者
https://doi.org/10.1007/978-3-642-20125-7Defuzzification Methods; Expert Estimation Model; Fuzzy Cluster Analysis; Fuzzy Regression Analysis; Rat
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發(fā)表于 2025-3-22 12:28:52 | 只看該作者
H. Pretzsch,J. Dieler,T. R?tzercal formalization within the scope of traditional concepts. It is partly connected with the fact that while describing or estimating real objects and situations experts use words of a natural language to reflect their subjective experience, judgment, sights and interests. Use of such words brings un
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Growth and Employment in Europeeing actively developed have already considerably expanded boundaries of application of classical regression analysis methods, i.e. they allow to construct the regression relations on the basis of fuzzy initial information. Besides, this information can be of both quantitative and qualitative nature
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