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Modeling Of Urban Policies For Housing With Fuzzy Cognitive Map Methodology

Author

Listed:
  • MARILENA - AURA DIN

    (Romanian-American University)

  • CRISTINA COCULESCU

    (Romanian-American University)

Abstract

Considering the increasingly dynamic and complex reality of the different urban policies, arose the question of whether these policies should be better designed in accordance with the causal knowledge in the respective policy area. One of the current approaches in urban policy modelling is the Fuzzy Cognitive Maps (FCM) methodology, which is capable to capture and to represent complex relationships in an intuitive manner and to represent the causality and the propagation of causality in the dynamic systems. The purpose of this paper is to illustrate how the FCM methodology is useful for a cognitive modeling to various urban policies in the field of the housing and how the FCM can become a useful tool in the design of participatory urban policies based on the most important determinant factors (controllable, observable and influence variables) perceived by participants in the policy (citizens, city officers, experts in the field, etc.).

Suggested Citation

  • Marilena - Aura Din & Cristina Coculescu, 2015. "Modeling Of Urban Policies For Housing With Fuzzy Cognitive Map Methodology," Romanian Economic Business Review, Romanian-American University, vol. 9(2), pages 276-290, December.
    • Handle: RePEc:rau:journl:v:10:y:2015:i:2:p:276-290
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    File URL: http://www.rebe.rau.ro/RePEc/rau/jisomg/WI15/JISOM-WI15-A04.pdf
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    References listed on IDEAS

    as
    1. M. Shamim Khan & Mohammed Quaddus, 2004. "Group Decision Support Using Fuzzy Cognitive Maps for Causal Reasoning," Group Decision and Negotiation, Springer, vol. 13(5), pages 463-480, September.
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