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期刊名称: Information Sciences: An International Journal
Volume:369(null)     2016
ISSN:0020-0255

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作者 : Farhadinia, B. ;  
发表期刊 : Information Sciences: An International Journal
ISSN : 0020-0255
出版时间 : 2016
卷期 : 369(null)
起始页码 : 63
终止页码 : 79
总页数 : 17
英文摘要 : The Main objective of this contribution is to develop information about how entropy measures of linguistic terms can be designed. Two different ideas have been put forward to explain this designation: (1) The idea that comes from the seminal definition of fuzziness measure; (2) The idea of transforming similarity measures to entropy ones. To demonstrate the utility and effectiveness of the proposed entropy measures, an entropy-based approach of determining objective weights of attributes is developed to solve multiple attribute decision-making problems in the context of linguistic term sets. (C) 2016 Elsevier Inc. All rights reserved.
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