Developing an Intelligent Housing Purchase Support System

• Main Authors: WU,JIA-WEI, 吳家瑋
• Other Authors: CHANG, CHUN-YANG
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/955uvg

碩士 === 國立高雄應用科技大學 === 資訊管理研究所碩士班 === 106 === Housing Pruchase is a major decision for homebuyers. If it fails, it will cause huge loss to homebuyers. However, homebuyers often make purchase decisions by intuition, or need to consider too many factors, which make it easy for buyers to ignore more important factors. The purpose of this study is to develop an intelligent housing purchase support system to help homebuyers. Therefore, this study uses the Consumer Decision-Making Model to derive the four-stages model of the Housing Purchase Process: demand confirmation, information gathering, evaluation and purchase decision. Then reviews the relevant literature at each stage to supplement or improve the problems at each stage. Then use Web Crawler in the information gathering stage to assist homebuyers to collect relevant housing information, use the Likert five-point scale at the evaluation stage to help homebuyers to judge housing quality and use ELECTRE Methods at purchase decision stage to help homebuyers compare housing. Finally, use Modified Delphi Method to improve Housing Purchase Process, use ROMC method to design system and use Prototyping Approach to develop system. The Intelligent Housing Purchase Support System includes four major functions: housing demand confirmation, housing information gathering, housing evaluation, housing purchase decision. And provide automatic functions such as automatic calculation of financial affordability, automatic search for housing, and automatic calculation of evaluation results in the system. In addition, questionnaire survey on system function satisfaction shows that regardless of whether the user has experience in buying a house, they are satisfied with the system.