Mahalanobis Taguchi-System (MTS) has been used in different diagnostic applications to make quantitative decisions by constructing a multivariate system using data analytic methods without any assumption regarding statistical distribution. MTS performs Taguchi's fractional factorial design based on the Mahahlanobis distance as a performance metric. In this study, MTS used for analyzing automotive ride satisfaction, which measured as a CSR(Customer Satisfaction Rating). The automobile which has a good CSR score treated as a normal group for constructing Mahalanobis space. The results of this research show that two attribute (Impact Hardness and Memory Shake) have a minus gain value and can be removed from further analysis. With the linear regression model, the difference of CSR between using all 6 attributes and just using significant 4 attributes compared.

Abstract
 1. 서론
 2. Mahalanobis Taguchi System
 3. MTS를 이용한 자동차의 승차감 만족도
  3-1. 변수 데이터
  3-2. MTS기법의 전개
  3-3. 유효 변수의 선정
 4. 결론
 5. 참고문헌

• 홍정의 | Jungeui Hong