A novel quantum inspired algorithm for sparse fuzzy cognitive maps learning
Sign Up to like & getrecommendations! Published in 2019 at "Applied Intelligence"
DOI: 10.1007/s10489-019-01476-7
Abstract: Fuzzy cognitive maps (FCMs) represent a graphical modeling technique based on the decision-making and reasoning rules and algorithms similar to those used by humans. The graph-like structure and the execution model of FCMs respectively allow… read more here.
Keywords: quantum; quantum inspired; analysis; fuzzy cognitive ... See more keywords
A Fuzzy Cognitive Approach to Ranking of Factors Affecting the Reliability of Man–Machine Systems
Sign Up to like & getrecommendations! Published in 2019 at "Cybernetics and Systems Analysis"
DOI: 10.1007/s10559-019-00206-8
Abstract: We consider the approach to modeling of man–machine systems reliability using expert information and fuzzy cognitive maps. The novelty of this approach is that interrelations of factors affecting system’s reliability are taken into account. The… read more here.
Keywords: machine systems; fuzzy cognitive; factors affecting; approach ... See more keywords
Making Predictions of Global Warming Impacts Using a Semantic Web Tool that Simulates Fuzzy Cognitive Maps
Sign Up to like & getrecommendations! Published in 2020 at "Computational Economics"
DOI: 10.1007/s10614-020-10025-1
Abstract: One of the most important environmental problems of our era is Global Warming (GW), which derives its roots mainly from anthropogenic activities and is expected to cause far-reaching and long-lasting impacts to the natural environment,… read more here.
Keywords: fuzzy cognitive; tool; semantic web; cognitive maps ... See more keywords
A sociotechnical approach to causes of urban blight using fuzzy cognitive mapping and system dynamics
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DOI: 10.1016/j.cities.2020.102963
Abstract: Abstract Urban blight often is prominent in urban environments. It consists of real estate degradation to the extent that blighted residential properties, unfortunately, may provide housing only for the poorest social classes. Urban blight reduces… read more here.
Keywords: cognitive mapping; fuzzy cognitive; urban blight; causes urban ... See more keywords
Increasing the Energy Efficiency of Buildings using Human Cognition; via Fuzzy Cognitive Maps
Sign Up to like & getrecommendations! Published in 2018 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2018.11.206
Abstract: Abstract Fuzzy Cognitive Maps (FCMs) are a useful and powerful tool for modelling and analyzing complex dynamic systems. They can structure virtual worlds that dynamically change over time. In this paper we go beyond the… read more here.
Keywords: methodology; energy; fuzzy cognitive; increasing energy ... See more keywords
Fuzzy Cognitive Maps analysis of Green Supply Chain Management: a case study approach
Sign Up to like & getrecommendations! Published in 2020 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2020.12.2124
Abstract: The Green Supply Chain has proposed to innovate industrial production by implementing a radical perspective change: reconcile economy and ecology. This study aims to contribute to the realisation of a new idea of eco-sustainable industrialisation.… read more here.
Keywords: fuzzy cognitive; cognitive maps; green supply; supply chain ... See more keywords
Omnichannel Management in B2B. Complexity-based model. Empirical evidence from a panel of experts based on Fuzzy Cognitive Maps
Sign Up to like & getrecommendations! Published in 2021 at "Industrial Marketing Management"
DOI: 10.1016/j.indmarman.2021.03.009
Abstract: Abstract In recent years, academics and professionals have proposed omnichannel management as the best approach to offering multiple channels to end customers. This approach has been reinforced by the recent crisis caused by Covid-19 and… read more here.
Keywords: omnichannel management; management; fuzzy cognitive; model ... See more keywords
A fuzzy cognitive mapping approach for the assessment of public-goods governance in agricultural landscapes
Sign Up to like & getrecommendations! Published in 2019 at "Land Use Policy"
DOI: 10.1016/j.landusepol.2019.04.033
Abstract: Abstract In Europe, growing concerns about the environmental impacts of agriculture have stimulated the development of more efficient governance options to be included in, or to complement, current agri-environmental policies. However, a significant hurdle for… read more here.
Keywords: public goods; cognitive mapping; fuzzy cognitive; governance ... See more keywords
Marine accident learning with fuzzy cognitive maps (MALFCMs)
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DOI: 10.1016/j.mex.2020.100940
Abstract: Highlights • A novel MALFCM method to weight human-contributing factors into maritime accidents has been developed.• With MALFCM method the main disadvantage of traditional FCMs is overcome.• The MALFCM method can produce logical results even… read more here.
Keywords: malfcm method; accident learning; learning fuzzy; marine accident ... See more keywords
Interactive evolutionary optimization of fuzzy cognitive maps
Sign Up to like & getrecommendations! Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2016.10.068
Abstract: Abstract Modeling dynamic systems with Fuzzy Cognitive Maps (FCMs) is characterized by the simplicity of the model representation and its execution. Furthermore, FCMs can easily incorporate human knowledge from the given domain. Despite the many… read more here.
Keywords: fuzzy cognitive; evolutionary optimization; optimization; interactive evolutionary ... See more keywords
Towards improving the efficiency of the fuzzy cognitive map classifier
Sign Up to like & getrecommendations! Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2016.11.059
Abstract: Abstract Fuzzy Cognitive Map (FCM) is a model that combines selected features of fuzzy sets and neural networks. FCM is usually applied as a decision support tool or as a predictive model for time series… read more here.
Keywords: fuzzy cognitive; fcm; cognitive map; towards improving ... See more keywords