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A Comparative Study Employing CIA Methods in Knowledge-Based Urban Development with Emphasis on Affordable Housing in Iranian Cities (Case: Tabriz)

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Computational Science and Its Applications – ICCSA 2017 (ICCSA 2017)

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Abstract

The majority of this research has been situated in the methods of crisp Micmac and Fuzzy Linguistic Micmac as systematic modeling tools under CIA method. In the current study, both Micmac and Fuzzy linguistic Micmac methods are applied and also compared to analyze the interrelationships between the KBUD and affordable housing variables in Tabriz city, Iran. The obtained results and the rankings taken from both crisp Micmac and FL Micmac are almost the same but few cases, which indicates accuracy of the employed methods. This little variation happens due to the using fuzzy values in FL Micmac that is more precise. One of the advantages of the fuzzy linguistic Micmac is its capability in employing heat maps. The heat maps show whether the system’s variables has great influence/dependence on each other or has not. In other words, these maps enable the decision maker to look the strength of the system in a glance, from the existing relations between the factors. The other advantageous of the heat maps is, clustering the factors in an optical mode, because the factors with the same range of influence/dependence may have same role in the system. In our analyzed system, despite of being superior of some variables, the strength of the whole system is in the middle and lower.

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Notes

  1. 1.

    Trend Impact Analysis.

  2. 2.

    Fuzzy Cognitive Maps.

  3. 3.

    Cross Impact Analysis.

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Ranjbar nia, B., Murgante, B., Molaei Qelichi, M., Rustaei, S. (2017). A Comparative Study Employing CIA Methods in Knowledge-Based Urban Development with Emphasis on Affordable Housing in Iranian Cities (Case: Tabriz). In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2017. ICCSA 2017. Lecture Notes in Computer Science(), vol 10407. Springer, Cham. https://doi.org/10.1007/978-3-319-62401-3_35

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  • DOI: https://doi.org/10.1007/978-3-319-62401-3_35

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