Principal Components Projection Decision-making Based on Information Entropy Weight

被引：1

作者：

Jin Fengxiang ^{[1
]}

Ding Shifei ^{[2
]}

Wang Jian ^{[1
]}

机构：

[1] Shandong Univ Sci & Technol, Coll Geoinformat Sci & Engn, Qingdao 266510, Peoples R China

[2] China Univ Min & Technol, Sch Comp Sci & Technol, Xuzhou 221008, Peoples R China

来源：

PROCEEDINGS OF THE 27TH CHINESE CONTROL CONFERENCE, VOL 3 | 2008年

关键词：

Information entropy weight (IEW); Principal component projection (PCP); Decision-making model; Land quality;

D O I：

10.1109/CHICC.2008.4605785

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A new decision-making model based on information entropy weight (IEW) is set up. Firstly, information entropy theory is summarized. a new concept of IEW is proposed, and construction method of IEW is given. Secondly, based on IEW and principal components projection (PCP) method, a novel decision-making model is set up. In the end, the model is to be applied to classified evaluation for land quality, and the simulation results show that the model proposed here is efficient and reasonable.

引用

页码：413 / +

页数：2