Crime investigation is an activity requiring high intelligence, aiming at investigating people, determining identities, and collecting criminal evidences in order to disclose the facts about crime. Accordingly, an expert system for crime investigation is developed so that future investigation operations, relating to collecting,cataloguing, sorting and analyzing of information, detecting and determining of crime facts, determining on investigation direction and plans, as well as generating lists of suspects and proving on crime acts, can all be delegated to the knowledge-based experts, hoping that investigation operations can be more modernized, automated and made professional. In this paper, we have modified, integrated and improved the knowledgeacquisition methods currently used, and developed an integrated automaticexpert system as a tool for knowledge acquisition(is called PKAS). Therefore, we propose a Prototype Framework of Integrated Knowledge Acquisition(PFIKA).Inductive Learning, IL, Personal Construct Psychology, PCP, and Hierarchical ClusterAnalysis, HCA are mainly the techniques applied in our study. The Prototype KnowledgeAcquisition System(PKAS) we have designed is capable of processing incomplete, inconsistent data, generalizing the rule knowledge ase, and automatically generating a more reliableknowledge base. This prototype of such PKAS will then be applied in the generating of anprototype of expert system for theft crime investigation and MO reasoning.

資料來源:http://handle.ncl.edu.tw/11296/ndltd/88625452070122215426