A Study of The Application of The Fuzzy Mathematics in The Valuation Structure of Investment and Development Feasibility for High-Rise Housing

碩士 === 逢甲大學 === 土地管理研究所 === 86 === Habitation is one of the base demands for human beings and the development of habitation is the most influential factor in urban evolution. However, because the characteristics of housing are different from other general...

Full description

Bibliographic Details
Main Authors: Tsai, Ming-Chang, 蔡明璋
Other Authors: Yang Lung-Shih
Format: Others
Language:zh-TW
Published: 1998
Online Access:http://ndltd.ncl.edu.tw/handle/24461686645833200820
Description
Summary:碩士 === 逢甲大學 === 土地管理研究所 === 86 === Habitation is one of the base demands for human beings and the development of habitation is the most influential factor in urban evolution. However, because the characteristics of housing are different from other general properties, it usually difficult to reach the balance of demands and supplies in the housing market and consequently leads to the housing problems. So, how to solve the questions of the demand and supply of housing is government''s important task. Facing the unbalanced situation of the demanBecause there are many uncertainly factors in the housing market, if we neglect them or analyze them with the wrong ways, it would result in serious mistakes. Therefore, the most important problem is how to measure the uncertain factors and put them in the analysis processing when we are to analyze the housing market. This study has used the fuzzy mathematics to solve the problem of factor measurements, and used some analytic method, such as fuzzy mathematics, to evaluate their feasibility.The case of this study was a successful pre-sale case in the real market. After the analysis procedure of the model, we have got the following results: The conditions of the housing and location in this case was better than other competent-cases and the total sale rate was over 80%, the NPV was greater than zero and the IRR was higher than the rate of the estimated return. Besides, the risk simulation analysis has shown that the probability of IRR was lower then the rate of estimate return by only 12%. Ther