چکیده مقاله
In this article, an intelligent system for evaluating and scoring job résumés using fuzzy logic and machine learning algorithms is introduced Given the uncertain and subjective nature of many résumé features such as the quality of work experience, skill relevance, and clarity of writing , the use of fuzzy logic for modeling uncertainty, alongside machine learning to enhance accuracy and personalize recommendations, has led to the development of a flexible and precise system Finally, the system's performance was evaluated using real world data, and the results demonstrated high accuracy compared to traditional systems
کلیدواژهها
نویسندگان
Amir Mohammad Moradi
Ayandegan University
Faraz Tazeh Abadi
Amir Mohammad Moradi Ayandegan UniversityMasiha MoalemiMohammad Armin GhasemiYoona Mahoorian
Masiha Moalemi
Amir Mohammad Moradi Ayandegan UniversityFaraz Tazeh AbadiMohammad Armin GhasemiYoona Mahoorian
Mohammad Armin Ghasemi
Amir Mohammad Moradi Ayandegan UniversityFaraz Tazeh AbadiMasiha MoalemiYoona Mahoorian
Yoona Mahoorian
Amir Mohammad Moradi Ayandegan UniversityFaraz Tazeh AbadiMasiha MoalemiMohammad Armin Ghasemi
شیوه ارجاع
Moradi, Amir Mohammad and Tazeh Abadi, Faraz and Moalemi, Masiha and Ghasemi, Mohammad Armin and Mahoorian, Yoona,1404,Scoring system design Smart to resume with composition Fuzzy logic and machine learning,The 6th international conference on artificial intelligence and its future prospects in electrical, computer, mechanical and telecommunication engineering sciences.,Mashhad
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