The purpose of this study is to find the relationships between personal demographic attributes and long distance travel mode choices based on the Artificial Intelligence technique-rough set theory. Rough set theory can learn and refine decision rules or hidden facts from the incomplete observed data without the constraints of statistical assumptions. Also the induced decision rules are expressed in natural language, which can help policymakers in the decision making process. In the study, we conducted a survey to collect the peoples’ most preferred travel mode choices for the given destination and people’s demographic information. We analyzed the observed data based the rough set theory, calculated and discussed the approximation, core, reduct and rules of the data. The results of validation test were very promising, which showed that the induced decision rules could represent the relationships between data with the accuracy of 74.59%.
목차
Abstract 1. Introduction 2. Basic concepts of the rough set theory 2.1. Concept 1. Indiscernibility of objects 2.2. Concept 2. Information system 2.3. Concept 3. Approximations of set 2.4. Concept 4. Attributes reduction 2.5. Concept 5. Decision rules induction 3. Application of the rough set theory 3.1. The data 3.2. Presentation of the rough set results 4. Conclusions 5. References
저자
Weijie Wang [ Department of Civil and Environmental Engineering, Wonkwang University, Iksan City, Jeollabuk Do, 570-749, South Korea ]
Moon Namgung [ Department of Civil and Environmental Engineering, Wonkwang University, Iksan City, Jeollabuk Do, 570-749, South Korea ]
보안공학연구지원센터(IJMUE) [Science & Engineering Research Support Center, Republic of Korea(IJMUE)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Multimedia and Ubiquitous Engineering
간기
월간
pISSN
1975-0080
수록기간
2008~2016
등재여부
SCOPUS
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Multimedia and Ubiquitous Engineering Vol.2 No.2