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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.
Muhammad Khalique Kamboh, and Bushra Zafar, Muhammad Kashif Iqbal. (2020) Categorization of Urban Slums Using Fuzzy Logic System: A Theoretical Approach, , PROC. OF THE PAS: A; 57, Issue 1.
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