Evaluation of Enterprise Performance Based on FLI-GA Model
Abstract: 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.
Author: Shouyi Zhang, Xiaomin
Zhu, Jiandong Geng, Runtong Zhang
Journal Code: jptindustrigg140045