원문정보
초록
영어
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
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