Ecological Environment Quality Comprehensive Evaluation Model Based on Grey Clustering

Ecological environment quality comprehensive evaluation evaluate different cells’ ecological environment quality, on the basis of region eco-environment investigation , the indexes and math methods selected according to the region, to discover the problems and put forward comprehensive father measures. In electronic government spatial decision-making assistant systems, Estimate the region’s eco-environment quality not only provides science evidence for the departments environment management and decision making of the government. It is also very important for making sustainable development of the region. At present, region eco-environment quality comprehensive evaluation is just underway, and is often handworked. The computation process is also complex. As for evaluation method, fuzzy comprehensive evaluation method is usually used. These methods have their advantages as well as disadvantages. In System Theory and Control Theory, colors are often used to present the degree of knowledge and understandability of investigator. “Black” expresses complete lack of information, “white” expresses full information, “grey” expresses insufficiency inadequacy information. If there is insufficiency or indeterminate information in a system, then the system is called has grey character. The system with grey character is called grey system. Strictly speaking, the external word known and changed by people is neither “black” nor “white”, instead, it is “grey”. Simply we ignore some uncertain factors when we deal with actual problems, so we regard some grey systems as white systems to know and dispose. So, grey systems are ubiquitous. In this article, the author introduces the principle and general process of grey clustering, including confirming clustering whitening number, the evaluation indexes’ whitening functions’ eigenvalue, dimensionless procession of data, decision of whitening functions, get the weight values of the indexes for different sorts, get clustering coefficients and make sure the sorts of the clustering objects. Thereinto, whitening functions have very important impact on the clustering results. This article adopts the usually used triangle whitening functions. Then, the evaluation index system of the experimental area-ZunYi county of Guizhou province is built, obtains data such as weights and whitening functions. At last, eco-environment quality evaluation of the area is carried out with this method. The results are analyzed and proved nicety, impersonal and is identical with the fact. This method can be used for eco-environment quality evaluation of any region.