Decision-making analysis in the optimal portfolio of store types and store kinds in region shopping centers gross leasehold areas

• Main Author: 趙建中
• Other Authors: 陳耀光
• Format: Others
• Language: zh-TW
• Published: 1999
• Online Access: http://ndltd.ncl.edu.tw/handle/10262714781805176595

碩士 === 國立成功大學 === 建築學系 === 87 === In Taiwan region,the National Income(NI) are getting higher.People are having greater consuming potential these days. Therefore,the demand for region shopping centers in Taiwan has rised. However,the development-stratagem of region shopping centers here is still in the situation of chaos. An efficient norm concerning market demands, consumer behaviors, and constructing plans of region shopping centers has not been set up.For investors, this is indeed a high-risk thing to do. In a region shopping center''s development plan,for the investors,when it comes to choose the types of stores,the main investing goal are the best profits. Most profits come form the rent income of gross leasehold areas. Even so,the space arrangement of shopping center''s gross leasehold area are mostly based on the experience of the investors or architect''s design.Most investors don''t put it into consideration that each store type and store kind''s rent level and different square measure of gross leasehold area will have an influence on the benefits of the investors. This study is proceeding in the point of view of investors, analysing proper square measures for different store types and store kinds in gross leasehold areas. So, it emphasises in the rent levels of the type of stores and the kind of stores and also their future variables and tendency. From some previous studies, the feasures and suitable circumstances of each decision-making analysis are shown here. The main point of this study is to find the optimal return and minimum risk. I decided to use Markowitz''s portfolio theory as a core of my study. Because it also involves some variables and uncertainty, I use the fuzzy theory to give those variables some estimators. This will help the investors to find the efficient frontier, and at the same time, take the investor''s non-difference curve of risk into consideration, to find the most proper area utilization rule.