Open AccessA Real Estate Appraisal Model with Artificial Neural Networks and Fuzzy Logic: A Local Case Study of Samsun City
Author(s) -
ChinOh Chang,
Shumei Chen,
Shiawee X. Yang
Publication year - 2024
Publication title -
journal of the asian real estate society
Language(s) - English
Resource type - Journals
ISSN - 1029-6131
DOI - 10.53383/100005
Subject(s) - artificial neural network , real estate , valuation (finance) , fuzzy logic , computer science , artificial intelligence , income approach , cost approach , data mining , machine learning , finance , real estate development , business
This paper examines the impact of aggregated needs of household members on the choice of housing location in Taipei, Taiwan, using a sample of 11,191 households and information collected from the 1990 Census of Population and Housing. Our results indicate that the choice of housing location is significantly affected impacted by the age, family origin, past housing location, education and occupation status, and the location of the workplaces of both spouses. We also find that this decision is more significantly influenced by the attributes of the male spouse than the female. However, among the households with a female household head, the female spouse characteristics are more likely to be significant. Our results also offer a snapshot of today’s Taiwanese culture and shows that it is dramatically different from the commonly believed male-dominated traditional Chinese culture.