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    Fuzzy MCDM for Evaluating Fashion Trend Alternatives-林家旭.pdf
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    Fuzzy MCDM for Evaluating Fashion Trend Alternatives-林家旭.pdf檔名:1426002657967.pdf
    篇名/題名:Fuzzy MCDM for evaluating fashion trend alternatives
    摘要:Purpose – Based on the developed personal pleasure fashion design model (PPFDM), the authors have developed six fashion trend alternatives. The purpose of this paper is to use the fuzzy multiple criteria decision making (MCDM) to select the best fashion trend alternative.
    Design/methodology/approach – To rationalize uncertainty associated with fuzzy, the fuzzy
    analytic hierarchy process (fuzzy AHP) is proposed in this work to calculate the weight for the criteria.The synthetic evaluation is used to calculate the score for each criterion from the best non-fuzzy
    performance (BNP) values and the weight of the criterion. The scores for each criterion are summed up to rank the importance of the alternatives.
    Findings – The results show that the preferred trend of the alternatives is in the order of Romantic hippy, followed by Greek goddess, then Black knight, Urban punk, Country yappy, and Sporty academy. The multiple dimension scale (MDS) is used to visualize the preferred fashion trend
    alternatives; it reveals that the preference image goes from romantic to urban, to country, and finally to sporty.
    Originality/value – The paper offers important criteria for the selection of fashion trend alternatives. The calculation examples provide insight into the complicated fuzzy AHP and MDS methods to clarify each step in fuzzy MCDM. This study, through using MDS, uncovers that material-oriented consumers will purchase products or brands that are congruent with their inner
    femininity desire to create their personal identity and self-image. Moreover, the developed framework has proven to be useful in improving the quality of fashion design decision.
    類型:期刊論文
    西元出版年:2012
    著作語言:en_US
    關鍵詞:Fashion designDecision makingConsumer behaviourFashion trendsMultiple criteria decision makingFuzzy analytic hierarchy processMultiple dimension scale
    作者:Chiahsu Lin、Chorng H. Twua
    學校系所:時尚設計系