By Elpiniki I. Papageorgiou (Ed.),Elpiniki I. Papageorgiou

Fuzzy Cognitive Maps (FCM) represent cognitive versions within the type of fuzzy directed graphs including easy parts: the nodes, which essentially correspond to “concepts” bearing assorted states of activation counting on the data they characterize, and the “edges” denoting the causal results that every resource node routines at the receiving proposal expressed via weights. Weights take values within the period [-1,1], which denotes the confident, detrimental or impartial causal courting among techniques. An FCM may be ordinarily acquired via linguistic phrases, inherent to fuzzy structures, yet with a constitution just like the neural networks, which enables facts processing, and has features for education and adaptation.

During the final 10 years, an exponential progress of released papers in FCMs used to be displaying nice influence power. diverse FCM buildings and studying schemes were built, whereas quite a few reviews file their use in lots of contexts with hugely winning modeling effects.

 

The goal of this ebook is to fill the prevailing hole within the literature bearing on basics, types, extensions and studying algorithms for FCMs in wisdom engineering. It comprehensively covers the state of the art FCM modeling and studying equipment, with algorithms, codes and software program instruments, and offers a suite of functions that reveal their quite a few usages in technologies and engineering.

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Fuzzy Cognitive Maps for Applied Sciences and Engineering: From Fundamentals to Extensions and Learning Algorithms: 54 (Intelligent Systems Reference Library) by Elpiniki I. Papageorgiou (Ed.),Elpiniki I. Papageorgiou


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