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Fuzzified Expert System for Employability Assessment
Author(s) -
Rajani Kumari,
Sandeep Kumar,
Vivek Sharma
Publication year - 2015
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2015.08.420
Subject(s) - employability , computer science , valuation (finance) , fuzzy inference system , fuzzy logic , scope (computer science) , fuzzy inference , value (mathematics) , inference , artificial intelligence , knowledge management , machine learning , fuzzy control system , business , adaptive neuro fuzzy inference system , accounting , sociology , pedagogy , programming language
Employability is somebody's prospective for gaining and maintaining employment. Basically employability depends on basic three parameters and these parameters are as education, understanding power and personal development. It is the capability to achieve the preliminary employment, to continue it and to obtain different one, if it is required. This paper introduced an innovative knowledgeable system for valuation of employability through some fuzzy rules. The purpose and scope of this concern research is to observe the optimal valuation for employability. This concern research considers three employability skills as an input namely Education, Understanding power and Personal development and find out a novel crisp value for employability which is basically characterize the ability of employee. This paper uses twenty seven fuzzy rules, by using Mamdani type fuzzy inference system in Mat-lab for catches solitary value of output named as employability

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