A New Approach on Housing Choice Using Fuzzy Logic



This paper studies housing choice under fuzzy circumstances. In this article, fuzzy distance method is employed for selection process. Methodology of housing choice with fuzzy distance approach is based on the minimizing fuzzy distance of features from desired amount under fuzzy condition. Meanwhile, in the discrete choice models, housing choice is based on utility maximizing of available option. If available and desirable options have fuzzy values, we can measure distances between them and choose minimum distance as the best option. This study is conducted for dwelling units in urban regions of Hamedan province in Iran. Estimated results of model show that among owners group considering some features the fourth decile has the lowest fuzzy distance. This means that the residential units located in this decile are ideal for choosing. In the case of tenants, the third decile with amount of 659 units, has the minimum fuzzy distance.
JEL Classification: C02, C44, D81, R29, R39