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【答案】应助回帖
★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ★ ...
感谢参与，应助指数 +1
zhuozhuokankan: 金币+200, ★★★★★最佳答案, 非常感谢 2016-08-27 10:49:22
lazy锦溪: LS-EPI+1 2016-08-27 12:47:40
EI检索：
Accession number:
20163202699565
Title: Interval-valued fuzzy inference based on fuzzy hierarchical variable weights
Authors: Zhang, Yuzhuo1 Email author zhangyuzhuo@uibe.edu.cn
Author affiliation: 1 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: 8
Issue date: August 1, 2016
Publication year: 2016
Pages: 1831-1836
Language: English
ISSN: 1881803X
Document type: Journal article (JA)
Publisher: ICIC Express Letters Office
Abstract: In interval-valued fuzzy inference, according to actual demand of fuzzy decision making, we present a new approach to calculate fuzzy hierarchical variable-weighted matching degrees between input facts and antecedent components of rules. Furthermore, an interval-valued fuzzy inference based on fuzzy hierarchical variable-weighted matching degrees is proposed, which not only realizes the incentive strategy to some antecedent components in fuzzy inference, but satisfies balance requirements of decision makers. An example is given to illustrate the effectiveness and feasibility of the algorithm. © 2016, ICIC Express Letters Office. All rights reserved.
Number of references: 16
Main heading: Fuzzy inference
Controlled terms: Decision making
Uncontrolled terms: Decision makers - Fuzzy Decision making - Hierarchical variables - Incentive strategies - Interval-valued fuzzy inferences - Interval-valued fuzzy sets - Variable weight - Weighted matching
Classification code: 721.1 Computer Theory, Includes Formal Logic, Automata Theory, Switching Theory, Programming Theory - 912.2 Management
Database: Compendex
Compilation and indexing terms, © 2016 Elsevier Inc.
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