Study On The Comprehensive Appraisal Index System Of Residential Intelligent System

With the introduction and development of intelligent building in china, the intelligence conception has been applied in more and more residential. At the same time, with the great improvement of people's living conditions, the intelligent building facilities have became the essential devices in medium-graded or top-graded residential. But in present, there isn't a valve on intelligence conception, which causes the confusion of intelligent residential market. So, how to standardize the intelligent residential market as soon as possible has became an urgent affair we have to face.Comprehensive appraisal index system of residential intelligent system is an efficient method to standardize the intelligent residential market, but there is still not official and detailed regulates about this kind of appraisal indexes in our country. The aim of this article is just to research and construct the comprehensive appraisal index system of residential intelligent system and its appraisal way.This paper is constituted of two parts. The aim of first part is to research the factors that affect the quality of residential intelligent system greatly. In this part, we study the practical situation of our residential intelligent system market and analyze three primary aspects of residential intelligent system :function ,technology and economy, in order to construct comprehensive appraisal indexes of residential intelligent system which could put into effect in presently environment ( technology environment,policy environment and market environment ). The main content of second part is the makeup of the appraisal index system and the appraisal method. According the analysis we have done in the first part, we can divide scientifically the index system into three parts: function indexes,technology indexes and economy indexes. And then, we choose layers fuzzy comprehensive appraisal method to appraise the appraisal index system we have construct, because it's a very efficient way to make quantitative analysis to resolve some problems full of fuzzy judgments.