Adaptive Neural Fuzzy Inference System for Employability Assessment

Abstract

Employability is potential of a person for gaining and maintains employment. Employability is measure through the education, personal development and understanding power. Employability is not the similar as ahead a graduate job, moderately it implies something almost the capacity of the graduate to function in an employment and be capable to move between jobs, therefore remaining employable through their life. This paper introduced a new adaptive neural fuzzy inference system for assessment of employability with the help of some neuro fuzzy rules. The purpose and scope of this research is to examine the level of employability. The concern research use both fuzzy inference systems and artificial neural network which is known as neuro fuzzy technique for solve the problem of employability assessment. This paper use three employability skills as input and find a crisp value as output which indicates the glassy of employee. It uses twenty seven neuro fuzzy rules, with the help of Sugeno type inference in Mat-lab and finds single value output. The proposed system is named as Adaptive Neural Fuzzy Inference System for Employability Assessment (ANFISEA).

A Hybrid Model to Profile and Evaluate Soft Skills of Computing Graduates for Employment

“…More specific in the domain of Human Resources, the research concluded by [31], assist HR managers in the assessment of employability of candidates during recruitment process. Here, the employability level of candidates was able to be computed based on three input values of Education, Personal Development and Understanding Power using the Sugeno type inference.…”