Application of Enhanced Rough Set Approach to the Evaluation of Urban Water Resources Utilization: A Case Study of Beijing

Comprehensive evaluation of urban water utilization, which has interested researchers for years, is a pre-requisite for optimal urban water resources management. Moreover, an accurate assessment of urban water use can greatly assist municipal managers and policy makers. This article presents an enhanced rough set method for generating evaluation rules from historical local data. The proposed method extends classical rough set theory by using a conditional probability classifier for equivalence class and decision rules to deal with any incomplete and ambiguous undecided objects. The approach is tested using data from Beijing whose water scarcity problem not only represents a microcosm of China but generally illustrates the value of the new approach.