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Article
Publication date: 1 August 2019

Chiahsu Lin and Ya-Ching Wang

The purpose of this paper is to construct the best combination of fabric printing pattern’s attributes to obtain the optimum design to meet the markets need.

158

Abstract

Purpose

The purpose of this paper is to construct the best combination of fabric printing pattern’s attributes to obtain the optimum design to meet the markets need.

Design/methodology/approach

This study reviewed the morphological analysis of fashion design expert groups regarding the fashionable fabric printing patterns, as well as the attribute preferences for different groups of fabric printing patterns through focus group discussions. In addition, the conjoint analysis was used to calculate the part-worth of these patterns’ design attributes and design levels to obtain the optimum design for fabric printing patterns.

Findings

The results of this study showed that the most importance of fabric attributes is the secondary pattern (32.59 percent), while the weights of shading element (24.80 percent) and primary pattern (24.46 percent) are almost the same. This study found that a wide range of intertwining image primary pattern can be applied to create interesting and popular fabric printing pattern designs. In practical applications of this result, when the primary pattern is supported by the buyer, fabric designers may use New Classic composite plants, with simple shading and different cycling configuration, to reproduce the optimum designs of the fabric printing patterns.

Originality/value

This proposed a novel solution to figure out the combination basis for optimizing fabric printing pattern designs. In addition, this result helps fabric printing pattern designers to establish an optimal design method for a specific brand to create a unique printing pattern design.

Details

International Journal of Clothing Science and Technology, vol. 31 no. 5
Type: Research Article
ISSN: 0955-6222

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Article
Publication date: 29 July 2014

Chiahsu Lin

The purpose of this paper is to improve the complicated pairwise comparison problem and the consistency of analytic hierarchy process (AHP), the consistent fuzzy preference…

387

Abstract

Purpose

The purpose of this paper is to improve the complicated pairwise comparison problem and the consistency of analytic hierarchy process (AHP), the consistent fuzzy preference relation (CFPR) method is applied to select the best fashion design scheme in this study.

Design/methodology/approach

The first stage is to review the traditional AHP for fashion design scheme evaluation. The second stage is based on the procedure of CFPR to select the best fashion design scheme. The procedure includes: establishment of the fuzzy preference relation matrix of pairwise comparisons, calculation of criteria weight, and calculation of the evaluation value for ratings of fashion design schemes with respect to criteria. The final stage is to compare the procedures and results between AHP and CFPR for the evaluations of fashion design schemes.

Findings

For fashion design scheme selection, there are 76 data for fashion design scheme evaluation in AHP, but only 31 in CFPR. Comparing both AHP and CFPR methods, the rankings of the criteria weight are identical and the priority scores of the fashion design scheme are similar. The CFPR is more efficient than AHP, obviously, to solve the inconsistency of hierarchical decision-making problem.

Originality/value

This paper proposes the CFPR method for the selection of the best fashion design scheme. According to the finding of this study, the CFPR is proposed as a practicable option for solving complicated pairwise comparison problems in fashion design decision.

Details

International Journal of Clothing Science and Technology, vol. 26 no. 4
Type: Research Article
ISSN: 0955-6222

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Article
Publication date: 31 May 2013

Chiahsu Lin

The purpose of this research is to determinate the criteria weight in a fashion design scheme evaluation system.

1324

Abstract

Purpose

The purpose of this research is to determinate the criteria weight in a fashion design scheme evaluation system.

Design/methodology/approach

The first stage is to use the fuzzy Delphi method (FDM) by fashion design experts of academia and industries for fashion design evaluation criteria. The second stage is based on the use of a fuzzy analytic hierarchy process (FAHP) to find the criteria weight. Finally, an empirical example is used to illustrate the procedure of obtaining the criteria weights for the evaluation of a fashion design scheme.

Findings

The result shows that there are eight evaluation criteria to be obtained for fashion design scheme selection. The evaluation characteristic weights of theme and innovation score almost 90 percent (88.93 percent), the criteria weights of the first five, fashion forecast theme story, best‐seller modification, new idea and product position, score almost 80 percent (79.96 percent) and the criteria weights of the first two, fashion forecast and theme story, score almost 40 percent (39.93 percent) when selecting a design scheme in the fashion design process.

Originality/value

This paper proposes the vital characteristic and criteria for the selection of the fashion design scheme. In selecting fashion design scheme, this study uncovers that the marketing is less important than theme and innovation characteristics. Additionally, the results of this study, indicate the important five criteria, offered designer a set of useful indicators in preparing fashion design scheme and improving the quality of fashion design decision.

Details

International Journal of Clothing Science and Technology, vol. 25 no. 3
Type: Research Article
ISSN: 0955-6222

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Article
Publication date: 1 June 2012

Chiahsu Lin and Chorng H. Twu

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…

997

Abstract

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.

Details

International Journal of Clothing Science and Technology, vol. 24 no. 2/3
Type: Research Article
ISSN: 0955-6222

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