书目名称 | Fuzzy Cognitive Maps | 副标题 | Advances in Theory, | 编辑 | Michael Glykas | 视频video | | 概述 | Contains the theory of fuzzy cognitive mapping and for the first time a methodology of constructing and linking fuzzy cognitive maps to be used in management and business process reengineering for per | 丛书名称 | Studies in Fuzziness and Soft Computing | 图书封面 |  | 描述 | This important edited volume is the first such book ever published on fuzzy cognitive maps (FCMs). Professor Michael Glykas has done an exceptional job in bringing together and editing its seventeen chapters. The volume appears nearly a quarter century after my original article “Fuzzy Cognitive Maps” appeared in the International Journal of Man-Machine Studies in 1986. The volume accordingly reflects many years of research effort in the development of FCM theory and applications—and portends many more decades of FCM research and applications to come. FCMs are fuzzy feedback models of causality. They combine aspects of fuzzy logic, neural networks, semantic networks, expert systems, and nonlinear dynamical systems. That rich structure endows FCMs with their own complexity and lets them apply to a wide range of problems in engineering and in the soft and hard sciences. Their partial edge connections allow a user to directly represent causality as a matter of degree and to learn new edge strengths from training data. Their directed graph structure allows forward or what-if inferencing. FCM cycles or feedback paths allow for complex nonlinear dynamics. Control of FCM nonlinear dynamics | 出版日期 | Book 2010 | 关键词 | Fuzzy Cognitive Maps; Performance Measurement; artificial intelligence; calculus; complex systems; comput | 版次 | 1 | doi | https://doi.org/10.1007/978-3-642-03220-2 | isbn_softcover | 978-3-642-26398-9 | isbn_ebook | 978-3-642-03220-2Series ISSN 1434-9922 Series E-ISSN 1860-0808 | issn_series | 1434-9922 | copyright | Springer-Verlag Berlin Heidelberg 2010 |
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