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  • 學位論文

應用層級分析法於布料印花圖案之設計決策研究

Application of Hierarchical Analysis to Design Decision for Fabric Printing Patterns

指導教授 : 林家旭

摘要


本研究以層級分析法將最佳布料印花圖案設計做為研究的對象,5位從事印花設計2~3年以上的專業印花師進行印花圖案評選,並以 6組印花圖案進行決策分析,使用的研究方法本應使用德菲法反覆彙總取得專業人士的認同,但因為德菲法反覆彙總的次數太多在效率上較差,故使用模糊德菲法(1)建立影響決策之評估因子集(2)蒐集專家或決策群體意見(3)進行模糊德菲法的評估值計算。並以雙三角模糊數整合專家意見,找出印花布料圖案決策準則,確立三大構面「品牌性」、「市場性」、「流行性」及8項次準則「延續」、「形象」、「經典」、「定位」、「目標」、「主題」、「趨勢」、「創新」、等評量項目再以層級分析法評量準則的權重,利用科學方法進行評估,並作成決策並選出最佳印花布料圖案。根據本研究之發現研究結果方案的重要程度之排序依序為:方案5、方案6、方案4、方案2、方案1、方案3。此研究分析的結果可以協助購買者及設計者做決策的一個準則。

並列摘要


In this study, the Analytical Hierarchy Process (AHP) was used to study the printed pattern design of the best fabric as the object of study. 5 professional printers engaged in printing design for 2~3 years conducted printed patterns, and made decision analysis with 6 sets of printed patterns. The research method should be used for repeated summary to obtain professional recognition; however, because the number of times that Delphi Method repeatedly summarized is too poor in efficiency, so the Fuzzy Delphi Method (FDM) was used to (1) establish a set of evaluation factors for impact decisions, (2) collect opinions of experts or decision-making groups, and (3) perform FDM evaluations. can be as criteria to assist buyers and designers in making decisions. Integrate expert opinions with double triangle fuzzy technique to identify the decision-making criteria for printed fabrics, and establish three major dimensions: "brand", "market", "popularity" and 8 assessment criteria, such as "continuation", "image", "classic", "positioning", "target", "theme", "trend", and "innovation", and then measure the weight of the criteria with the hierarchical analysis method, using scientific methods for evaluation, and make decisions and select the best printed fabric pattern. According to the findings of this study, the order of importance of the programs from the study results is as follows: Program 5, Program 6, Program 4, Program 2, Program 1, Program 3. The results of this study analysis can assist buyers and designers in making decisions.

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