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Automatic Detection of Career Recommendation Using Fuzzy Approach

Automatic Detection of Career Recommendation Using Fuzzy Approach

Rajalakshmi Krishnamurthi, Mukta Goyal
Copyright: © 2018 |Volume: 11 |Issue: 4 |Pages: 23
ISSN: 1938-7857|EISSN: 1938-7865|EISBN13: 9781522543237|DOI: 10.4018/JITR.2018100107
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MLA

Krishnamurthi, Rajalakshmi, and Mukta Goyal. "Automatic Detection of Career Recommendation Using Fuzzy Approach." JITR vol.11, no.4 2018: pp.99-121. http://doi.org/10.4018/JITR.2018100107

APA

Krishnamurthi, R. & Goyal, M. (2018). Automatic Detection of Career Recommendation Using Fuzzy Approach. Journal of Information Technology Research (JITR), 11(4), 99-121. http://doi.org/10.4018/JITR.2018100107

Chicago

Krishnamurthi, Rajalakshmi, and Mukta Goyal. "Automatic Detection of Career Recommendation Using Fuzzy Approach," Journal of Information Technology Research (JITR) 11, no.4: 99-121. http://doi.org/10.4018/JITR.2018100107

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Abstract

In today's era where personalization of the learning material is a key factor towards the success of learning goal for any student according to their personality traits, learning style and cognitive style, choosing a career according to personality traits is also become a key to success of job satisfaction. Hence, this article proposes the recommendation of career on the basis of candidate personality attributes. In this article, Holland's theory is used to detect candidate's personality. Weights are assigned to each personality traits to calculate the scores are calibrated manually with help of research work done in this domain before and the feedback. A survey is conducted to test the accuracy of proposed method on 217 responses. The result shows the 74.35% candidates are satisfied with the recommended career and average rating for personality traits score was 3.58/5. This article also suggests a fuzzy approach to automatic detection of career recommendation based on personality score.

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