Categorization of Urban Slums Using Fuzzy Logic System: A Theoretical Approach

Categorization of Urban Slums Using Fuzzy

Authors

  • Muhammad Khalique Kamboh Department of Geography, Government Postgraduate College, Samanabad, Faisalabad, Pakistan
  • Muhammad Kashif Iqbal Department of Mathematics, Government College University, Faisalabad, Pakistan
  • Bushra Zafar Department of Computer Science, Government College University, Faisalabad, Pakistan

Keywords:

Urban slums, Fuzzy logic system, Empirical model of slums, Categorization of slums

Abstract

This article deals with the categorization of urban slums on the basis of infrastructure and basic facilities. An empirical abstract model based on Fuzzy Logic is proposed to categorize the urban slums into three categories named as A, B and C. The modern world. especially developing countries are suffering from several serious problems related to high population growth and rapid urbanization. The most pressing problem includes solid waste management, water supply, pollution, health, population explosion and education. The population explosion is a serious cause of concern and alarming growth rate cannot be supported by the city infrastructure. This has caused the formation of countless slums within and around the urban areas, where living conditions are deplorable. This categorization might help to prioritize the necessary actions to be taken in order to improve the quality of life and basic infrastructure in slum areas.

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Published

2021-03-12

How to Cite

Kamboh, M. K., Iqbal, M. K. ., & Zafar, B. (2021). Categorization of Urban Slums Using Fuzzy Logic System: A Theoretical Approach: Categorization of Urban Slums Using Fuzzy. Proceedings of the Pakistan Academy of Sciences: A. Physical and Computational Sciences, 57(1), 7–16. Retrieved from http://ppaspk.org/index.php/PPAS-A/article/view/46

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Articles