Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/188606 
Year of Publication: 
2014
Citation: 
[Journal:] Journal of Industrial Engineering and Management (JIEM) [ISSN:] 2013-0953 [Volume:] 7 [Issue:] 2 [Publisher:] OmniaScience [Place:] Barcelona [Year:] 2014 [Pages:] 373-389
Publisher: 
OmniaScience, Barcelona
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.
Subjects: 
FLI-GA model
performance evaluation
genetic algorithm
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-nc Logo
Document Type: 
Article

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