Intelligent Project Approval Cycle for Local Government - Case-Based Reasoning Approach

摘要

In e-government, decision makers need support in their decision processes that may vary from simple nature to complex one. Authorities desire an intelligent workflow for their multilevel approval cycle. In this paper, we propose to use Case Base Reasoning (CBR) for the approval of small projects in public sector. CBR is an artificial intelligence technique which efficiently exploits the past experience to find solution of new problems. The CBR engine maintains a repository of past cases. On a new project approval request, the proposed inference system matches similar historical cases and suggests a solution for the new project. The proposed methodology has been evaluated on a case-base of sample projects.