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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/66931

    Title: 直覺模糊環境下多重品質特性最佳化問題之研究;The Study of Optimizing Multi-response Problems with Intuitionistic Fuzzy Set
    Authors: 彭仁賓;Peng,Jen-pin
    Contributors: 機械工程學系
    Keywords: 多重品質特性問題;田口方法;直覺模糊集合;多屬性決策方法;理想解類似度順序偏好法;多準則妥協排序法;相似性測度法;Multi-response problem;Taguchi Method;Intuitionistic Fuzzy Sets;Multi-Attribute Decision Making;TOPSIS Method;VIKOR Method;Similarity-Based Method
    Date: 2015-01-12
    Issue Date: 2015-03-16 16:00:57 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 田口方法(Taguchi Method)提供企業一個可以有效提昇品質的模式。然而,多數田口方法的應用只能針對單一品質特性實施參數設定的最佳化。近年來,多準則決策(Multiple Criteria Decision Making, MCDM)方法被廣泛用來解決多重品質特性最佳化(Multi-Response Optimization)問題。
    ;The Taguchi method provides an effective framework for improving quality in industry. However, it determines the optimal setting of process parameters according to only single response. For the sake of optimizing multi-response problems, multiple criteria decision making (MCDM) methods have been extensively utilized in recent years.
    In considering an engineer′s opinion in optimizing a multi-response problem, it 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 (IFSs) has been found to be more effective than that of fuzzy sets for dealing with vagueness and hesitancy.
    This thesis focuses on state systems and explores optimization of multi-response problems with IFSs, in which the importance of each response is given by an engineer as IFS.
    In the proposed methods, the TOPSIS method, VIKOR method and the similarity measure method are proposed for optimizing multi-response problems, where the weight of various responses are assessed in terms of IFSs. This scheme can eliminate the need for complicated intuitionistic fuzzy arithmetic operations and increase the efficiency of solving multi- response optimization problems in intuitionistic fuzzy environments.
    Two case studies of plasma-enhanced chemical vapor deposition (PECVD) and double-sided surface mount technology electronic assembly operation are used to demonstrate the effectiveness of the proposed methods. These case studies show that the proposed methods are useful schemes to efficiently determine the optimal factor-level combination. The proposed methods differ from previous approaches for optimizing multi-response problems, not only in that the proposed methods use IFSs rather than fuzzy sets, but also in that the calculations are more efficient.
    Appears in Collections:[機械工程研究所] 博碩士論文

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