Evaluation of Enterprise Performance Based on FLI-GA Model

Shouyi Zhang, Xiaomin Zhu, Jiandong Geng, Runtong Zhang

Abstract


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.


Keywords


FLI-GA model;performance evaluation; Genetic Algorithm

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DOI: http://dx.doi.org/10.3926/jiem.959


Licencia de Creative Commons 

This work is licensed under a Creative Commons Attribution 4.0 International License

Journal of Industrial Engineering and Management, 2008-2019

Online ISSN: 2013-0953; Print ISSN: 2013-8423; Online DL: B-28744-2008

Publisher: OmniaScience