대한인간공학회지 (Journal of the Ergonomics Society of Korea)
- 제20권1호
- /
- Pages.45-62
- /
- 2001
- /
- 1229-1684(pISSN)
- /
- 2093-8462(eISSN)
사용편의성 모델수립을 위한 제품 설계 변수의 선별방법 : 유전자 알고리즘 접근방법
A Method for Screening Product Design Variables for Building A Usability Model : Genetic Algorithm Approach
- 투고 : 2000.01.12
- 심사 : 2001.05.22
- 발행 : 2001.04.30
초록
This study suggests a genetic algorithm-based partial least squares (GA-based PLS) method to select the design variables for building a usability model. The GA-based PLS uses a genetic algorithm to minimize the root-mean-squared error of a partial least square regression model. A multiple linear regression method is applied to build a usability model that contains the variables seleded by the GA-based PLS. The performance of the usability model turned out to be generally better than that of the previous usability models using other variable selection methods such as expert rating, principal component analysis, cluster analysis, and partial least squares. Furthermore, the model performance was drastically improved by supplementing the category type variables selected by the GA-based PLS in the usability model. It is recommended that the GA-based PLS be applied to the variable selection for developing a usability model.