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期刊名称: Information Sciences: An International Journal
Volume:299(null)     2015
ISSN:0020-0255

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作者 : Chen, Shyi-Ming ;   Cheng, Shou-Hsiung ;   Chen, Ze-Jin ;  
发表期刊 : Information Sciences: An International Journal
ISSN : 0020-0255
出版时间 : 2015
卷期 : 299(null)
起始页码 : 394
终止页码 : 411
总页数 : 18
英文摘要 : In this paper, we propose a method to construct a polygonal rough-fuzzy set from a set of polygonal fuzzy sets representing the aggregation of multiple experts' opinions and propose a new fuzzy interpolative reasoning method for sparse fuzzy rule-based systems based on the ratio of fuzziness of the constructed polygonal rough-fuzzy sets, where the values of the antecedent variables and the consequence variable appearing in the fuzzy rules are represented by the constructed polygonal rough-fuzzy sets. The proposed fuzzy interpolative reasoning method can overcome the drawbacks of the existing method due to the fact that it can deal with fuzzy interpolative reasoning using polygonal rough-fuzzy sets and it gets more reasonable fuzzy interpolative reasoning results than the existing method. (C) 2014 Elsevier Inc. All rights reserved.
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