Fuzzy Cognitive Networks in Diverse Applications Using Hybrid Representative Structures
Georgios D. Karatzinis,
Nikolaos A. Apostolikas,
Yiannis S. Boutalis
et al.
Abstract:Fuzzy cognitive networks (FCNs) arose from traditional fuzzy cognitive maps (FCMs) to have the advantage of guaranteed convergence to equilibrium points, thus being more suitable than conventional FCMs for a variety of pattern recognition and system identification tasks. Moreover, recent developments led to FCNs with functional weights (FCNs-FW), as a significant FCNs enhancement in terms of storage requirements, efficiency and less human intervention requirements. In this paper we proceed further by introduci… Show more
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