STUDY ON FUZZY MULTIPLE-ATTRIBUTE DECISION MAKING APPROACH BASE ON SYNTHESIZING INFORMATION ENTROPY

被引：0

作者：

Zhu, Xiao-Xia ^{[1
]}

Wang, Rui-Jiang ^{[2
,3
]}

Li, Fa-Chao ^{[2
]}

机构：

[1] Hebei Univ Sci & Technol, Coll Sci, Shijiazhuang 050018, Hebei, Peoples R China

[2] Hebei Univ Sci & Technol, Coll Econ & Management, Shijiazhuang 050018, Hebei, Peoples R China

[3] Beijing Jiaotong Univ, Sch Econ & Management, Beijing 100044, Peoples R China

来源：

PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-6 | 2009年

基金：

中国国家自然科学基金;

关键词：

Multiple-attribute decision making; Fuzzy number; Composite quantization; Synthesizing information entropy;

D O I：

10.1109/ICMLC.2009.5212434

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper focuses on fuzzy multiple-attribute decision with weights unknown and fuzzy information. Starting from the structural feature of fuzzy information, we propose the compound quantification description mode based on centralized quantification value, and establish a fuzzy information comparison method based on synthesizing effect. Through real case, All the results indicate that the fuzzy multiple-attribute decision making approach proposed can effectively merge decision preference into decision process and has better operability.

引用

页码：822 / +

页数：2

共 12 条

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