Fuzzy cognitive modeling: Theoretical and practical considerations
Autor:
Nápoles, Gonzalo
; Salmerón, José L (1)
; Froelich, Wojciech
; Falćon, Rafael
; León Espinosa, Maikel
; Vanhoenshoven, Frank
; Bello, Rafael
; Vanhoof, Koen
Fecha:
2019Palabra clave:
Tipo de Ítem:
bookPartResumen:
Fuzzy cognitive maps (FCMs) are knowledge-based neural systems comprised of causal relations and well-defined neural concepts Since their inception three decades ago, FCMs have been used to model a myriad of problems Despite the research progress achieved in this field, FCMs are still surrounded by important misconceptions that hamper their competitiveness in several scenarios In this paper, we discuss some theoretical and practical issues to be taken into account when modeling FCM-based systems Such issues range from the causality fallacy and the timing component to limited prediction horizon imposed by the network structure The conclusion of this paper is that the FCM’s theoretical underpinnings need to be revamped in order to overcome these limitations Closing the gap between FCMs and other neural network models seems to be the right path in that journey.
Descripción:
Capítulo del libro "Czarnowski I., Howlett R., Jain L. (eds) Intelligent Decision Technologies 2019. Smart Innovation, Systems and Technologies, vol 142. Springer, Singapore"
Este ítem aparece en la(s) siguiente(s) colección(es)
Estadísticas de uso
Año |
2012 |
2013 |
2014 |
2015 |
2016 |
2017 |
2018 |
2019 |
2020 |
2021 |
2022 |
Vistas |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
116 |
44 |
16 |
Descargas |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
Ítems relacionados
Mostrando ítems relacionados por Título, autor o materia.
-
Improving Web Learning through model Optimization using Bootstrap for a Tour-Guide Robot
León, Rafael; Rainer, J. Javier; Rojo, José Manuel; Galán, Ramón (International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 09/2012)We perform a review of Web Mining techniques and we describe a Bootstrap Statistics methodology applied to pattern model classifier optimization and verification for Supervised Learning for Tour-Guide Robot knowledge ... -
The time to offer treatments for COVID-19
Ngo, Binh T.; Marik, Paul; Kory, Pierre; Shapiro, Leland; Thomadsen, Raphael; Iglesias, Jose; Ditmore, Stephen; Rendell, Marc; Varon, Joseph; Dube, Michael; Nanda, Neha; In, Gino K.; Arkfeld, Daniel; Chaudhary, Preet; Campese, Vito M.; Hanna, Diana L.; Sawcer, David E.; Ehresmann, Glenn; Peng, David; Smorgorzewski, Miroslaw; Armstrong, April; Dasgupta, Rajkumar; Sattler, Fred R.; Brennan-Rieder, Denise; Mussini, Cristina; Mitjà, Oriol; Soriano, Vicente (1); Peschanski, Nicolas; Hayem, Gilles; Confalonieri, Marco; Piccirillo, Maria Carmela; Lobo-Ferreira, António; Bello Rivero, Iraldo; Turkia, Mika; Vinjevoll, Eivind H.; Griffin, Daniel O.; Hung, Ivan Fn (Expert opinion on investigational drugs, 2021)Background: COVID-19 has several overlapping phases. Treatments to date have focused on the late stage of disease in hospital. Yet, the pandemic is by propagated by the viral phase in out-patients. The current public health ... -
Factor de Impacto y comportamiento bibliométrico de las revistas de “Film, Radio & Television” de Web of Science
Torre-Espinosa, Mario de la; Repiso, Rafael (1); Montero Díaz, Julio (1) (Revista Espanola de Documentacion Cientifica, 2019)En el presente artículo se analiza el comportamiento bibliométrico de las revistas incluidas en la categoría “Film, Radio & Television” indexadas en Web of Science, tanto en Arts & Humanities Citation Index como en Emerging ...