A Fuzzy Cognitive Map for México City’s Water Availability System

Iván Paz Ortiz, Carlos Gay García

Abstract

.

References

  1. Cakmak E, Dudu H, Eruygur O, Ger M, Onurlu S, and Tongu O . Participatory fuzzy cognitive mapping analysis to evaluate the future of water in the Seyhan Basin. Journal of Water and Climate Change In Press, Uncorrected Proof IWA Publishing 2013 - doi:10.2166/wcc.2013.029
  2. Escolero, F. (2009). Vulnerabilidad de las fuentes de abastecimiento de agua potable de la Ciudad de México en el contexto de cambio climático. (“Vulnerability of fresh water sources in México city in the context of climate change”) Available online at http://www.cvcccm-atmosfera.unam.mx/ documents/investigaciones/pdf/Agua Escolero %20In fFinal org.pdf Accessed March 2013.
  3. IPCC (2007) Climate Change 2007: The Physical Science Basis. Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change [Solomon, S., D. Qin, M. Manning, Z. Chen, M. Marquis, K.B. Averyt, M. Tignor and H.L. Miller (eds.)]. Cambridge University
  4. Oglesby, R. Rowe, C. and Hays, C. (2010). Climate Impacts in Mesoamerican Countries: Results from Global and Regional Climate Models. University of Nebraska-Lincoln. Available online at: http://weather.unl.edu/RCM/reports/impacts/ Mesoamerica Climate Impacts.pdf Accessed April 2013.
  5. Pelez, E. Bowles, J. (1996). Using Fuzzy Cognitive Maps as a System Model for Failure Modes and Effects Analysis Information Sciences 88, 177-199.
  6. Soler L, Kok K, Camara G, and Veldkamp A. Using fuzzy cognitive maps to describe current system dynamics and develop land cover scenarios: a case study in the Brazilian Amazon. Journal of Land Use Science i First, 2011, 127.
  7. Stylios, C.D. Georgopoulos, V.C. ; Groumpos, Peter P. Introducing the theory of fuzzy cognitive maps in distributed systems. Proceedings of the 1997 IEEE International Symposium on Intelligent Control, 1997.
  8. Stylios C.D. and Groumpos P.P, “Modeling Complex Systems Using Fuzzy Cognitive Maps, IEEE Transactions on Systems, Man and Cybernetics: Part A Systems and Humans. (IF:0,555) Vol. 34, No 1 pp. 155- 162 (2004).
  9. Zadeh, L. (1965). Fuzzy Sets. Information and Control. 8, 338-353.
Download


Paper Citation


in Harvard Style

Paz Ortiz I. and Gay García C. (2013). A Fuzzy Cognitive Map for México City’s Water Availability System . In Proceedings of the 3rd International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: MSCCEC, (SIMULTECH 2013) ISBN 978-989-8565-69-3, pages 495-503. DOI: 10.5220/0004620704950503


in Bibtex Style

@conference{msccec13,
author={Iván Paz Ortiz and Carlos Gay García},
title={A Fuzzy Cognitive Map for México City’s Water Availability System},
booktitle={Proceedings of the 3rd International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: MSCCEC, (SIMULTECH 2013)},
year={2013},
pages={495-503},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004620704950503},
isbn={978-989-8565-69-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: MSCCEC, (SIMULTECH 2013)
TI - A Fuzzy Cognitive Map for México City’s Water Availability System
SN - 978-989-8565-69-3
AU - Paz Ortiz I.
AU - Gay García C.
PY - 2013
SP - 495
EP - 503
DO - 10.5220/0004620704950503