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Vol. 8. Núm. 1.
Páginas 80-88 (Enero 2011)
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Vol. 8. Núm. 1.
Páginas 80-88 (Enero 2011)
Open Access
Sistema de Ayuda a la Decisión Aplicado a Situaciones de Emergencia en Tiempo Real
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2601
Ángel Iglesias, M. Dolores del Castillo, J. Ignacio Serrano, Jesús Oliva
Grupo de Bioingeniería (CSIC), Ctra. Campo Real km 0.200, 28500, Arganda del Rey (Madrid), España
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Resumen

Este trabajo propone un Sistema Computacional de Ayuda a la Decisión, el Gestor de Crisis de Fuego (GCF), diseñado para ayudar a una persona a tomar decisiones en tiempo real en situaciones de emergencia, concretamente, en caso de incendio en un edificio. El funcionamiento del GCF se basa principalmente en la estimación del estado final asociado a cada alternativa a través de una red de conceptos y unas funciones de evolución que serán aplicadas al estado inicial. El GCF tiene en cuenta que para mitigar la crisis producida por un incendio pueden ser necesarias varias alternativas ejecutándose simultáneamente.

Palabras clave:
decision support systems
decision making
fuzzy sets
utility functions
knowledge representation
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Referencias
[Aamodt and Plaza, 1994]
A. Aamodt, E. Plaza.
Case-based reasoning; Foundational issues, methodological variations, and system approaches.
AI Communications, 7 (1994), pp. 39-59
[Aleskerov et al., 2005]
F. Aleskerov, A.I. Say, A. Toker, H.L. Akin, G.A. Altay.
Cluster-Based Decision Support System for Estimating Earthquake Damage and Casualties.
[Bonazountas et al., 2007]
M. Bonazountas, D. Kallidromitou, P. Kassomenos, N. Passas.
A decisión support system for managing forest fire casualties.
Journal of Environmental Management, 84 (2007), pp. 412-418
[Bonzano et al., 1996]
A. Bonzano, P. Cuningham, C. Meckiff.
ISAC: A CBR System for Decision support in Air Traffic Control.
Proc. of EWCBR ‘96, Advances in Case-Based Reasoning, pp. 44-57
[Church, 2002]
R.L. Church.
Geographical information systems and location science.
Computers & Operations Research, 29 (2002), pp. 541-562
[Ferguson and Allen, 1998]
G. Ferguson, J. Allen.
TRIPS: An Integrated Intelligent Problem-Solving Assistant of the 15th National Conference on Artificial Proc Intelligence.
AAAI Press, (1998),
[Gorry and Scott-Morton, 1971]
A. Gorry, M. Scott-Morton.
A framework for Management Information Systems.
Sloan Management Review, 13 (1971), pp. 55-70
[Hämäläinen et al., 2000]
R.P. Hämäläinen, M.R.K. Lindstedt, K. Sinkko.
Multiattribute Risk Analysis in Nuclear Emergency Management.
Risk Analysis, 20 (2000), pp. 455-467
[Iglesias et al., 2008a]
A. Iglesias, M.D. del Castillo, M. Santos, J.I. Serrano, J. Oliva.
A comparison between possibility and probability in multiple criteria decision making.
Computational Intelligence in Decision and Control, pp. 307-312
[Iglesias et al., 2008b]
A. Iglesias, M.D. del Castillo, J.I. Serrano, J. Oliva.
A Comparison of Hybrid Decision Making Methods for Emergency Support.
Proc. of the 8th International Conference on Hybrid Intelligent Systems, pp. 162-167
[Iglesias et al., 2010]
A. Iglesias, M.D. del Castillo, J.I. Serrano, J. Oliva.
An iterative decision support system for managing fire emergencies.
Computational Intelligence: Foundations and Applications, pp. 820-825
[Iliadis, 2005]
S.L. Iliadis.
A decisión support system applying an integrated fuzzy model for long-term forest fire risk estimation.
Environmental Modelling & Software, 20 (2005), pp. 613-621
[Kaufmann and Gupta, 1985]
A. Kaufmann, M.M. Gupta.
Introduction to Fuzzy Arithmetic: Theory and Applications.
Van Nostrand Reinhold, (1985),
[Mora et al, 2003]
Decision Making Support Systems: Achievements, Trends and Challenges for the New Decade.,
[Mowrer, 2009]
F.W. Mowrer.
Driving Forces for Smoke Movement and Management.
Fire Technology, 45 (2009), pp. 147-162
[Overton, 2005]
I. Overton.
Modelling Floodplain Inundation on a Regulated River: Integrating GIS, Remote Sensing and Hydrological Models.
River Research and Applications, 21 (2005), pp. 991-1001
[Ray, 2007]
S.K. Ray, R.P. Singh.
Recent Developments and Practices to Control Fire in Underground Coal Mines.
Fire Technology, 43 (2007), pp. 285-300
[Snyder, 1987]
J.P. Snyder.
Map Projections – A Working Manual.
US Government Printing Office, (1987),
[Stylios et al., 2008]
C.D. Stylios, V.C. Georgopoulos, G.A. Malandraki, S. Chouliara.
Fuzzy cognitive map architectures for medical decision support systems.
Applied Soft Computing, 8 (2008), pp. 1243-1251
[Von Neumann and Morgenstern, 1944]
J. Von Neumann, O. Morgenstern.
Theory of Games and Economic Behavior.
Princeton Univ. Press, (1944),
[Yan and Clack, 2007]
W. Yan, C.D. Clack.
Evolving Robust GP Solutions for Hedge Fund Stock Selection in Emerging Markets.
Proc. of the 9th annual conference on Genetic and evolutionary computation, pp. 2234-2241
[Zadeh, 1975]
L.A. Zadeh.
The Concept of a Linguistic Variable and its Application to Approximate Reasoning-I.
Information Sciences, 8 (1975), pp. 199-249
[Zadeh, 1978]
L.A. Zadeh.
Fuzzy Sets as the Basis for a Theory of Possibility.
Fuzzy Sets and Systems, 1 (1978), pp. 3-28
[Zhang et al., 2010]
J. Zhang, M. Delichatsios, M. Colobert.
Assessment of Fire Dynamics Simulator for Heat Flux and Flame Heights Predictions from Fires in SBI Tests.
Fire Technology, 46 (2010), pp. 291-306
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