Evaluation of Enterprise Performance Based on FLI-GA Model

Zhang, Shouyi ^[1] ; Zhu, Xiaomin ^[1] ; Geng, Jiandong ^[2] ; Zhang, Runtong ^[1]
1. [1] Beijing Jiaotong University
  
  Beijing Jiaotong University
  
  China
2. [2] The High Technology Research and Development Center, The Ministry of Science and Technology of the People’s
Localización: Journal of Industrial Engineering and Management, ISSN-e 2013-0953, Vol. 7, Nº. Extra 2, 2014, págs. 373-389
Idioma: inglés
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Resumen
- Purpose: There are many kinds of methods to evaluate the performance of enterprise, but they still have some distinct shortcomings. In order to achieve a better evaluation result, we put forward a new model named FLI-GA (Fuzzy logic inference & Genetic algorithm). Approach: This model, mainly based on the fuzzy logic inference method, uses fuzzy rule-based system (FRBS) to avoid the drawbacks of FRBS. Genetic algorithm is applied in this model. Findings: FLI-GA model can be used to evaluate certain enterprise performance, and its evaluation results are more accurate than fuzzy logic inference method. Originality: This model combines the genetic algorithm with the unclear reasoning methods so as to make the appraisal results more reasonable and more satisfying.