A Rough Set-Based Rule Induction for Green Transportation Fleet Selection

• Main Authors: Chen, Zhixing, 陳智興
• Other Authors: Huang, Chunche
• Format: Others
• Language: en_US
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/78991407323012257124

碩士 === 國立暨南國際大學 === 資訊管理學系 === 100 === In the resent years, the greening transportation is perceived as important to transport operations. However, adopting a new technology to reduce carbon intensity increases corresponding purchase costs. Therefore, the transportation industry faces the problem of the transportation fleet selection to allocate desired greening vehicles. For the nature of qualitative in hierarchical transportation fleet selection, the rough set approach is one of the promised solutions. However, previous rough set approaches have following weakness: (1) Used two stages to generate reducts and induct decision rules. (2) Comparison of the reducts is restricted to the same number of attributes selected in the reducts. (3) Finding certain rules and possible rules on the single concept level and obtain all outcomes are in the same level only. (4) Provide one shot solution only. This study provides a total solution, which finds the final level with the specific hierarchical decision attribute inducted in the decision rule set. And the proposed solution approach provides business strategies based on the comparison of seasonal decision rule sets. This study contributes in induct seasonality decision rule sets with the hierarchical decision attribute. The results can resolve green transport fleet selection of transport seasonal demand and provide business strategy to advise market share, inventory management, green fleet allocation, and consequently enhance the competitive advantage.