2020
DOI: 10.3390/math8112059
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Fuzzy Cognitive Maps Optimization for Decision Making and Prediction

Abstract: Representing and analyzing the complexity of models constructed by data is a difficult and challenging task, hence the need for new, more effective techniques emerges, despite the numerous methodologies recently proposed in this field. In the present paper, the main idea is to systematically create a nested structure, based on a fuzzy cognitive map (FCM), in which each element/concept at a higher map level is decomposed into another FCM that provides a more detailed and precise representation of complex time s… Show more

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Cited by 23 publications
(14 citation statements)
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“…The relationship among these nodes can take values in the range [0, 1]. The directed links that define concepts & associations can be positive or negative, with values ranging from − 1 to 1 [78]. Though efficient these FCMs do not take into consideration the indeterminate relationship among concepts.…”
Section: Materials and Methodologymentioning
confidence: 99%
“…The relationship among these nodes can take values in the range [0, 1]. The directed links that define concepts & associations can be positive or negative, with values ranging from − 1 to 1 [78]. Though efficient these FCMs do not take into consideration the indeterminate relationship among concepts.…”
Section: Materials and Methodologymentioning
confidence: 99%
“…In certain domains of applications, modelers either optimize the FCMs constructed by the experts and/or constructing FCMs entirely based on the data collected about the systems. A set of machine learning algorithms were developed to meet these tasks and have previously been applied to numerous fields such as the optimization of industrial processes ( Papageorgiou, Stylios & Groumpos, 2006 ; Stach, Kurgan & Pedrycz, 2008 ; Papageorgiou, 2011a ), decision making ( Poczeta, Papageorgiou & Gerogiannis, 2020 ), and classification ( Nápoles et al, 2014 ; Nápoles, Jastrzębska & Salgueiro, 2021 ). In the proposed library, we include three types of algorithms used for edge optimization, FCM generation, and classification.…”
Section: Learning Algorithms For Fcmsmentioning
confidence: 99%
“…The FCM is a system that is suitable for decision making, whose usefulness, given in the modeling of decision making for different areas, for example: for recognition patterns, in risk analysis and crisis management, as a support tool for decision-making decisions, to model an underwater virtual world of dolphins, fish, and sharks, for socio-economic development planning, and to support the decisionmaking process for photovoltaic solar energy sector development, numerical and linguistic forecasting, among others [18].…”
Section: Figure 1 Classification Of Companies In Mexicomentioning
confidence: 99%