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DC Field | Value | Language |
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dc.contributor.author | بلحريزي, زينب | - |
dc.contributor.author | بن مسعود, نصر الدين | - |
dc.date.accessioned | 2024-10-06T08:18:30Z | - |
dc.date.available | 2024-10-06T08:18:30Z | - |
dc.date.issued | 2022 | - |
dc.identifier.uri | http://dspace.univ-temouchent.edu.dz/handle/123456789/5352 | - |
dc.description.abstract | The study worked on showing the effectiveness of fuzzy logic models in evaluating the performance of human resources based on quanti tative and qualitative variables, considering that fuzzy logic is a method that simulates human thinking and supports the decision - making process, Where an applied study was conducted at the level of the Cement Corporation in Beni Saf, as a model for evalu ating the performance of human resources was built based on a set of quantitative and qualitative criteria based on the learning and growth perspective of the Balanced Scorecard, and with the help of fuzzy logic models, the level of human resources performance was evaluated during the period 2015 - 20 19 using FuzzyAHP and TOPSIS methods, and arranging the level of this performance by years from highest to lowest. The study also suggested Mamdani’s fuzzy inference model to evaluate resource performance Human Resources for the year 2020, and the study re ached results that are more accurate and better than the traditional tools for making various correct decisions about the career path of the human resource, improving its performance, and contributing to achieving the strategic goals of the Corporation | en_US |
dc.language.iso | other | en_US |
dc.publisher | University of Ain Temouchent | en_US |
dc.subject | Human resources performance evaluation, Learning and growth perspective, Fuzzy logic, FuzzyAHP, TOPSIS, Mamdani inference | en_US |
dc.title | تقييم أداء الموارد البشرية في المؤسسات الصناعية مقاربة معتمدة على المنطق الضبابي:دراسة تطبيقية على مؤسسة الاسمنت بن صاف | en_US |
dc.type | Thesis | en_US |
Appears in Collections: | Sciences de Gestion |
Files in This Item:
File | Description | Size | Format | |
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document(26).pdf | 17,77 MB | Adobe PDF | View/Open |
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