| 书目名称 | Fuzzy Cognitive Maps for Applied Sciences and Engineering | | 副标题 | From Fundamentals to | | 编辑 | Elpiniki I. Papageorgiou | | 视频video | | | 概述 | Sytematic and comprehensive insight to fundamentals, modeling methodologies, extensions and learning methodologies for Fuzzy Cognitive maps.Includes algorithms, codes, software tools and applications | | 丛书名称 | Intelligent Systems Reference Library | | 图书封面 |  | | 描述 | .Fuzzy Cognitive Maps (FCM) constitute cognitive models in the form of fuzzy directed graphs consisting of two basic elements: the nodes, which basically correspond to “.concepts”. bearing different states of activation depending on the knowledge they represent, and the “.edges”. denoting the causal effects that each source node exercises on the receiving concept expressed through weights. Weights take values in the interval [-1,1], which denotes the positive, negative or neutral causal relationship between two concepts. An FCM can be typically obtained through linguistic terms, inherent to fuzzy systems, but with a structure similar to the neural networks, which facilitates data processing, and has capabilities for training and adaptation..During the last 10 years, an exponential growth of published papers in FCMs was followed showing great impact potential. Different FCM structures and learning schemes have been developed, while numerous studies report their use in many contexts with highly successful modeling results. . .The aim of this book is to fill the existing gap in the literature concerning fundamentals, models, extensions and learning algorithms for FCMs in knowledge eng | | 出版日期 | Book 2014 | | 关键词 | Cognitive Systems; Computational Algorithms; Decision Making; Fuzzy Cognitive Maps; Fuzzy Systems; Intell | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-642-39739-4 | | isbn_softcover | 978-3-662-52214-1 | | isbn_ebook | 978-3-642-39739-4Series ISSN 1868-4394 Series E-ISSN 1868-4408 | | issn_series | 1868-4394 | | copyright | Springer-Verlag Berlin Heidelberg 2014 |
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发表于 2025-3-21 18:31:09
