Abstract
It is well known that business performance can be improved with effective knowledge management, especially with today’s competitive atmosphere. Thus, a proper performance measurement and evaluation system supports the decision makers to measure progress, identify assets of improvement, and find unidentified difficulties within the company. Accordingly, study about utilisation of expert systems like fuzzy logic and understanding their importance is worthy; to support the performance evaluation and decision-making processes in companies. Therefore, a comparative study has been practiced for this research, through reviewing existing papers and mechanisms in expert system fields. A conceptual framework is then introduced; to demonstrate the idea of using the fuzzy expert system for performance evaluation and decision making in project-based companies. Finally, this paper presents a fuzzy model integrated with other methods BSC, AHP and MCDM (TOPSIS), to measure the performance, evaluate the performance and rank them as per performance results in project-based companies by using MATLAB.
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