A Neuro-Fuzzy Approach to Assess the Soft Skills Profile of a PhD

In this paper a framework aimed at representing the soft skills profile of a job seeker by means of a 2-tuple fuzzy linguistic approach and a Neuro fuzzy controller is presented. The framework can be used in many contexts, in this work it is employed for designing a recommender system of candidates...

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Bibliographic Details
Published inFuzzy Logic and Applications Vol. 11291; pp. 134 - 147
Main Authors Azzini, Antonia, Marrara, Stefania, Topalovic, Amir
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 2019
Springer International Publishing
SeriesLecture Notes in Computer Science
Subjects
2-tuple fuzzy linguistic approach
Neuro-fuzzy controller
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ISBN9783030125431
3030125432
ISSN0302-9743
1611-3349
DOI10.1007/978-3-030-12544-8_11

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Summary:In this paper a framework aimed at representing the soft skills profile of a job seeker by means of a 2-tuple fuzzy linguistic approach and a Neuro fuzzy controller is presented. The framework can be used in many contexts, in this work it is employed for designing a recommender system of candidates for recruiting agencies. The recommender system’s Neuro fuzzy controller simulates the decision of a Human Resource (HR) manager in evaluating the soft skills profile of a candidate and proposes only the best profiles w.r.t. a set of preferences. The framework has been developed in the context of the Find Your Doctor (FYD) start up and applied to the PhD recruiting task, but it is easily applicable to any recruiting activity.
ISBN:9783030125431
3030125432
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-030-12544-8_11