| Summary: | 碩士 === 國立勤益科技大學 === 工業工程與管理系 === 104 === The improved gross domestic product and living standards have caused arising demand in housing quality: the function of housing has progressed from a place of shelter to the modern demands of housing quality and public facilities. However, consumer demand for ideal housing has been reprioritized to value not merely quality, which was formerly the primary concern, but also additional factors such as location, neighborhood, and local transportation options. Construction groups should learn and know how to fulfill consumer demand because unlike fast-moving consumer goods, housing decision making does not typically offer immediate replacement. Housing purchases should accommodate personal demand, as reflected in housing prices. Therefore, the objective of this research was to provide an instant housing demand evaluation method based on consumer demand. Generally, housing decision making involves a minimum of two decision-makers. Group decision-making uses an integrated means to reach an agreement on the basis of the mutual consensus of all participating decision-makers. Such an agreement should be a common goal for each consumer and construction group. When confronting a critical decision, decision-makers frequently lack a sense of certainty and clarity when communicating their demands. In this study, fuzzy theory was used as a primary demand communication tool and multi-choice goal programming was employed to assist decision-makers to conduct an integrated data analysis. This study used Borland C++ Builder 6.0 as a development platform to integrate the applied methodologies to digitalize and expedite decision-making. The findings revealed that each decision-maker required an average of 5 minutes to list his or her ideal housing criteria and demands, thus facilitating effective and satisfactory housing selection.
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