Regularization of fuzzy cognitive maps for hybrid decision support system

作者: Alexey N. Averkin , Sergei A. Kaunov

DOI: 10.1007/978-3-642-21881-1_23

关键词:

摘要: In this paper an aspect of collaborative construction decision support systems based on fuzzy cognitive maps (FCM) is considered. We propose a way for cooperation in developing process by different experts and tuning developed to given conditions. These goals are attained employing regularization methods, available since FCM considered as neural network. Interpretation motivation such approach described. On the base map hierarchy model new Fuzzy Hierarchical Modeling introduced. Advantages method A novel overcoming inherent limitations Methods exploiting multiple distributed information repositories proposed.

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