Regional Economic Evaluation Method Based on Fuzzy C-Mean Clustering and Rough Set’s Property Importance Theory

Abstract

Applying fuzzy and rough set theory, researching into the sample’s clustering analysis and each factor’s reasonable authorization with regard to evaluation and prediction, the thesis gives fuzzy clustering based on the primitive statistics without human prior knowledge. On this basis, the thesis mines each evaluation factor weight from primitive statistics and develops new method of comprehensive evaluation. In accordance with the index system given by Henan Province Statistics Bureau in 2003 and the data in Henan Province Statistics annals in recent three years, it carries out a clustering positive analysis of county economic comprehensive development condition in Henan province in recent three years, takes a power mining from each evaluating factor and conducts a comprehensive evaluation and analysis of the county economic development level according to the calculated results.