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    Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/109050


    Title: Similarity-based method for multiresponse optimization problems with intuitionistic fuzzy sets
    Authors: 葉維磬;Peng, Jen-Ping;Yeh, Wei-Ching;Lai, Tsung-Chih;Hsu, Chi-Pin
    Contributors: 工學院機械工程學系
    Keywords: Fuzzy;Fuzzy logic;Fuzzy set theory;Fuzzy sets;Mechanical engineering;Mechanical engineers;Mechanical polishing;Optimization;Perception;Similarity
    Date: 2013-06-01
    Issue Date: 2026-04-23 15:27:37 (UTC+8)
    Publisher: SAGE Publications Inc.;London, England: SAGE Publications
    Abstract: 摘要: In considering an engineer’s opinion in optimizing a multiresponse problem, attention must be paid to vagueness and hesitancy in revealing his or her perceptions of a fuzzy concept such as “importance” or “excellence.” Recently, the notion of intuitionistic fuzzy sets has been found to be more effective than that of fuzzy sets for dealing with vagueness and hesitancy. However, little research has been done on optimizing multiresponse problems using intuitionistic fuzzy sets. This article focuses on state systems and explores optimization of multiresponse problems with intuitionistic fuzzy sets, in which the importance of each response is given by an engineer as intuitionistic fuzzy set. A novel optimization procedure is proposed that is based on a measure of similarity between intuitionistic fuzzy sets. To demonstrate the efficiency and effectiveness of the proposed method, two case studies are provided–one of plasma-enhanced chemical vapor deposition and the other the copper chemical mechanical polishing.
    出版者: London, England: SAGE Publications
    出版日期: 2013-06
    出處: Proceedings of the Institution of Mechanical Engineers. Part B, Journal of engineering manufacture, 2013-06, Vol.227 (6), p.908-916
    版權: IMechE 2013
    版權: Copyright SAGE PUBLICATIONS, INC. Jun 2013
    識別號: ISSN: 0954-4054
    識別號: EISSN: 2041-2975
    識別號: DOI: 10.1177/0954405412473877
    Appears in Collections:[Departmant of Mechanical Engineering ] journal & Dissertation

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