Affiliations: [a] Shaanxi Engineering Laboratory for Industrial Design, Northwestern Polytechnical University, Xi’an, China
| [b] School of Mechanical Engineering, Shaanxi SCI-TECH University, Hanzhong, China
Abstract: To evaluate auto-mobility systems and find out which one can provide better environmental, social, economic benefits and better system performance, we improve a rough set approach proposed by [1] with the combination of Rough Analytic Hierarchy Process (R-AHP) and Rough Technique for Order Preference by Similarity to Ideal Solution (R-TOPSIS). There are three steps in the improved approach. In the first step, proper indicators are identified by means of literature review and expert interviews, and they are divided into two categories, benefit and cost. In the second step, weight for each indicator is determined by R-AHP. In the third step, different alternatives are compared and ranked by R-TOPSIS. A case study is provided to show the detailed procedure of the improved approach by comparing car-sharing, ride-sharing and car-owning. And sensitivity analysis experiments are conducted to figure out the effect of indicators on decision making process. We arrive at the conclusion that ride-sharing is the best auto-mobility option in most cases and indicators play a significant role in the evaluation of auto-mobility options.
Keywords: Rough analytic hierarchy process, rough technique for order preference by similarity to ideal solution, auto-mobility, indicator
