Application of CFPR to fashion design scheme selection. Issue 4 (29th July 2014)

• Record Type: Journal Article
• Authors: Lin, Chiahsu
• Is Part Of: International journal of clothing science and technology. Volume 26:Issue 4(2014)
• Page Start: 316
• Page End: 329
• Publication Date: 2014-07-29
• Subjects: AHP -- MCDM -- CFPR -- Design decision -- Fashion design scheme; Clothing and dress -- Periodicals; Textile fabrics -- Periodicals; 677
• DOI: 10.1108/IJCST-07-2013-0080
• Languages: English
• ISSNs: 0955-6222

Abstract

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.