Research on a principal components decision algorithm based on information entropy

Abstract

A principal component decision algorithm based on information entropy is provided in this paper. First we summarize the information entropy theory, provide the concept of objective entropy weight (OEW) and provide a construction method of OEW; we determine a principal component decision rule by weighted normalization processing of a known dataset and in the process establish the principal component decision algorithm on the basis of information entropy and apply it in a comprehensive decision on land quality. The results show that the method provided in our paper is effective and reasonable.