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【答案】应助回帖
★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ...
感谢参与，应助指数 +1
zhuozhuokankan: 金币+100, ★★★★★最佳答案, 非常感谢 2016-12-09 08:20:51
lazy锦溪: LS-EPI+1 2016-12-09 08:34:01
Accession number:
20163702800915
Title: Premise reduction of fuzzy inference based on hierarchical variable weights
Authors: Zhang, Yuzhuo1 Email author zhangyuzhuo@uibe.edu.cn
Author affiliation: 1 School of Statistics, University of International Business and Economics, No. 10, Huixin Dongjie, Chaoyang District, Beijing; 100029, China
Corresponding author: Zhang, Yuzhuo (zhangyuzhuo@uibe.edu.cn)
Source title: ICIC Express Letters
Abbreviated source title: ICIC Express Lett.
Volume: 10
Issue: 9
Issue date: September 1, 2016
Publication year: 2016
Pages: 2149-2156
Language: English
ISSN: 1881803X
Document type: Journal article (JA)
Publisher: ICIC Express Letters Office
Abstract: In this paper, we analyze some problems existing in rule premise reduction of multidimensional fuzzy inference, and propose a new premise reduction method based on hierarchical variable weights in factor space theory, which not only shows relative importance of antecedent components in fuzzy inference, but considers different preference requirements of decision makers. In addition, it is proved that the reduction of rule premises does not change the interpolation approximation of the fuzzy systems constructed by the improved CRI (Compositional Rule of Inference). An illustrative example shows that the proposed premise reduction method is practicable and effective. © 2016 ICIC International.
Number of references: 23
Main heading: Fuzzy inference
Controlled terms: Decision making - Decision theory - Fuzzy systems - Hierarchical systems
Uncontrolled terms: Compositional rule of inferences - Decision makers - Factor space - Hierarchical variables - Reduction method
Classification code: 721.1Computer Theory, Includes Formal Logic, Automata Theory, Switching Theory, Programming Theory - 912.2Management - 961Systems Science
Database: Compendex
Compilation and indexing terms, © 2016 Elsevier Inc.
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