Agile Rough Set Based Rule Induction to Sustainable Service and Energy Provision

Abstract

Providing sustainable service and energy has been becoming a trend due to environmental concerns. One of the academic challenges in sustainable service and energy is identified: In the complex service sector, those data (e.g., from questionnaires) may be complicated, qualitative and in large scale. Numerous attributes which are non-regular in nature and have the impact on service performance are involved. One of the promised solution approaches is the Rough Set (RS) based approach that can deal with qualitative information and provide an individual object model based approach. However, traditional RS approaches have a few disadvantages: (i) The decision attribute in one level only that can reflects the concept hierarchy, (ii) using two stages to generate reducts and induct decision rules. This paper, an extended RS based rule induction approach is proposed while decision tables are not in traditional format. This study contributes development of the solution models to sustainable service and energy.