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Evaluation of enterprise performance based on FLI-GA Model
dc.contributor.author | Zhang, Shouyi |
dc.contributor.author | Zhu, Xiaomin |
dc.contributor.author | Geng, Jiandong |
dc.contributor.author | Zhang, Runtong |
dc.date.accessioned | 2014-05-28T11:11:23Z |
dc.date.available | 2014-05-28T11:11:23Z |
dc.date.issued | 2014-05 |
dc.identifier.citation | Zhang, Shouyi [et al.]. Evaluation of enterprise performance based on FLI-GA model. "Journal of Industrial Engineering and Management", Maig 2014, vol. 7, núm. 2, p. 373-389. |
dc.identifier.issn | 2013-0953 |
dc.identifier.uri | http://hdl.handle.net/2099/14696 |
dc.description.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. |
dc.format.extent | 17 p. |
dc.language.iso | eng |
dc.publisher | OmniaScience |
dc.rights | Attribution-NonCommercial 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by-nc/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Economia i organització d'empreses::Competitivitat i innovació |
dc.subject | Àrees temàtiques de la UPC::Matemàtiques i estadística::Investigació operativa::Simulació |
dc.subject.lcsh | Computer algorithms |
dc.subject.lcsh | Business enterprises -- Evaluation -- Mathematical models |
dc.subject.other | FLI-GA model |
dc.subject.other | Performance evaluation |
dc.subject.other | Genetic Algorithm |
dc.title | Evaluation of enterprise performance based on FLI-GA Model |
dc.type | Article |
dc.subject.lemac | Algorismes genètics |
dc.subject.lemac | Empreses -- Avaluació -- Models matemàtics |
dc.identifier.dl | B-28744-2008 |
dc.description.peerreviewed | Peer Reviewed |
dc.rights.access | Open Access |
local.citation.author | Zhang, Shouyi; Zhu, Xiaomin; Geng, Jiandong; Zhang, Runtong |
local.citation.publicationName | Journal of Industrial Engineering and Management |
local.citation.volume | 7 |
local.citation.number | 2 |
local.citation.startingPage | 373 |
local.citation.endingPage | 389 |
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2014, vol. 7, núm. 2 [15]
Special Issue – LISS 2013