A Neural-Fuzzy Model Based on Personality Psychology to Determine the Individual Job of Individual Characteristics: Case Study of Computer Engineering Students
محل انتشار: کنگره جهانی فناوری های هوشمند 2018
سال انتشار: 1396
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 471
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شناسه ملی سند علمی:
FBFICONF01_045
تاریخ نمایه سازی: 5 آذر 1397
چکیده مقاله:
In the complex world today, knowledge of human precision and recognition of their behavioral characteristics is more difficult than before. On the other hand, the advancement of technology and the increase in the level of human knowledge have led to an increase in the intensity of the process of professional selection and a greater sensitivity to the personality of the applicants. One of the effective solutions to overcome these complexities and problems is to determine the behavioral character of the applicants and evaluate them according to the job they are intended to determine the person s compliance with the profession. The purpose of this study is to use an intelligent learning approach based on neural networks and fuzzy logic to capture the personality models of computer experts that M.S. Software engineering based on personal information. Students can be classified into six main categories: architect, analyst, programmer, documentist, tester, and marketer. The Five Factor Model (FFM) divides the behavioral components into each category into five categories: neuroticism, instability, openness, consistency, and conscientiousness. The main idea proposed in this research was to find the relationship between behavioral and personality factors within different fields of computer engineering expertise. To discover the relationship between behavioral factors and computer engineering specialties, the learning potential of the adaptive-network-based fuzzy inference system (ANFIS) was studied to discover patterns of personality and the relationship between these models and the profession of participants. It was found that using a fuzzy inference system (FIS), we can create a systematic process for converting the knowledge base into a nonlinear map.
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نویسندگان
Mohammad Amin Sadeghi
Department of Computer Engineering, Instructor, Jahrom Islamic Azad University, Jahrom, Iran
Reza Asadinejad
Department of Computer Engineering, Jahrom Islamic Azad University, Jahrom, Iran
Fatimah golkar
Department of Computer Engineering, Jahrom Islamic Azad University, Jahrom, Iran