Design Of The Structure Of Evaluation Index System About Commercial Property Market Position

Market position is the systematic plan for commercial property. As the core of investment plan, it plays a directive and guiding role in the procession of commercial property development. At present, many companies use the market position model of house development for reference in commercial property position work, by reason of the lack of experience and mature theory. But this method produces little effect because commercial property is very different to house property, which incorporates the realm of real estate and retailing. To improve the validity of market position, there are two effective methods: one is deepening the study of commercial property management theory; the other is use decision appraisement to select and optimize the made decisions. The later is more practical, which need an indices system to be standards, so it's necessary to build the indices system according to the inherent laws of commercial property management. Factors system is the base of indices system, which is a complicated system. Base on the Location theory,Market Circle theory and the principle of retailing, the paper classified the factors that affect commercial property into five categories: economic background; realty market; commercial market; location characters; the strength of company. The categories and their branches combined the frame of factors system. And the mechanism and mode of the major factors were also be analyzed. Build on past achievements, the paper integrated the factors and corresponding indices, set up the structure of commercial property position decision appraisement system. Furthermore, it made a deeper study of the method for synthesize indices and determine weights. The factors that affect commercial property are in conjunction with each other, constitute a multiplicity system. Besides many subjective ingredient were introduced into the system at practice work,so the factor system has the typical characters of fuzzy and gray. In the indices system built base on such a factor system, information duplication are difficult to avoid, which demolish the validity of decision appraisal. To reduce the negative influence of that, the paper compared the property of relative mathematic models,and devised the synthetically appraise model with optimized weight at last. It made use of Gray Relevance Analysis to optimize the weights of index layer, and use the composed weights in AHP model to appraise position decisions. As the appraise model used the method of linear weighted mean, which didn't take the system balance into account, the paper built the balance coefficient as the total optimized weight base on Entropy Coefficients Theory. The optimization of weights combined the advantage of subjectivity and objectivity, enhanced the workability of indices system as a whole.