A knowledge-based decision support system for measuring enterprise performance

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摘要

This paper presents a knowledge-based decision support system for measuring enterprise performance. The KDSS system provides not only company’s various financial data query, but also enterprise performance based on knowledge reasoning. Additionally, an artificial neural network is adopted to predict future total sales. The system integrates a database, a knowledge base, an inference engine, and a model base. It can offer a wide range of different queries and all rules in the knowledge base are explained in detail to illustrate the process of reasoning. Meanwhile, in order to reduce subjective judgment on performance measurement, a group assessment is used to assess the scores of each dimension for measuring enterprise performance. Finally, the result of enterprise performance evaluation is presented and some suggestions are given to managers for making decisions.

论文关键词:Knowledge-based decision support system,Knowledge base,Database,Enterprise performance,Artificial neural network

论文评审过程:Received 4 December 2006, Revised 1 May 2007, Accepted 22 May 2007, Available online 29 May 2007.

论文官网地址:https://doi.org/10.1016/j.knosys.2007.05.009