Skip to main content
Sustainability (Switzerland)Volume 14, Issue 9, May-1 2022, Article number 5120

Application of the Choquet Integral: A Case Study on a Personnel Selection Problem(Article)(Open Access)

  Save all to author list
  • aFaculty of Technical Sciences, University of Novi Sad, Novi Sad, 21000, Serbia
  • bFaculty of Transport and Traffic Sciences, University of Zagreb, Zagreb, 10000, Croatia

Abstract

Personnel selection plays a decisive role in human resource management since it determines the input quality of personnel. One approach, fuzzy decision-making methods, has become popular in decision making for personnel selection, considering those methods provide a wide range of tools for dealing with uncertainty. Choquet integral is an aggregation operator, frequently used to unite interrelated information. Choquet integral, with respect to fuzzy, allows consideration of the phenomenon of dependence between criteria. In this paper, personnel selection was performed using the Choquet integral, based on a fuzzy measure. The problem of the evaluation of employees is performed with respect to the personal characteristics of the employees, task performance, employee–employee relationship approaches, and effectiveness of communication. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.

Author keywords

Choquet integralFuzzy measureMulti decision criteriaPersonnel selection

Indexed keywords

GEOBASE Subject Index:decision makingfuzzy mathematicshuman resourceresource management

Funding details

Funding sponsor Funding number Acronym
Sveučilište u Zagrebu
Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja200156,451-03-68/2022/14/200156MPNTR
210001/2021

  • 1

    This research (paper) has been supported by the Ministry of Education, Science and Technological Development of Serbia through project no. 451-03-68/2022/14/200156 \u201CInnovative Scientific and Artistic Research from the Faculty of Technical Sciences Activity Domain\u201D. This paper has also been supported by the University of Zagreb, Faculty of Transport and Traffic Sciences, through project no. 210001/2021: \u201CUniversal service provider business maps in the commercial scenario\u201D.

  • 2

    Funding: This research (paper) has been supported by the Ministry of Education, Science and Technological Development of Serbia through project no. 451-03-68/2022/14/200156 \u201CInnovative Scientific and Artistic Research from the Faculty of Technical Sciences Activity Domain\u201D. This paper has also been supported by the University of Zagreb, Faculty of Transport and Traffic Sciences, through project no. 210001/2021: \u201CUniversal service provider business maps in the commercial scenario\u201D.

  • ISSN: 20711050
  • Source Type: Journal
  • Original language: English
  • DOI: 10.3390/su14095120
  • Document Type: Article
  • Publisher: MDPI

  Mostarac, K.; Faculty of Transport and Traffic Sciences, University of Zagreb, Zagreb, Croatia;
© Copyright 2022 Elsevier B.V., All rights reserved.

Cited by 8 documents

Biswas, S. , Chatterjee, S. , Majumder, S.
A Spherical Fuzzy Framework for Sales Personnel Selection
(2024) Journal of Computational and Cognitive Engineering
Pelissari, R. , Amor, S.B. , de Oliveira D’Antona, Á.
A semi-supervised multi-criteria sorting approach to constructing social vulnerability composite indicators
(2024) Annals of Operations Research
Nalbant, K.G.
A methodology for personnel selection in business development: An interval type 2-based fuzzy DEMATEL-ANP approach
(2024) Heliyon
View details of all 8 citations
Inform me when this document is cited in Scopus:
Set citation alert Set citation feed
{"topic":{"name":"Choquet Integral; Fuzzy Measure; Multiple-Criteria Decision Analysis","id":3890,"uri":"Topic/3890","prominencePercentile":86.6894,"prominencePercentileString":"86.689","overallScholarlyOutput":0},"dig":"996b68364105d6a98a28870a70fd98381c3aa8d1f78f24688482a6d6a1833a83"}

SciVal Topic Prominence

Topic:
Prominence percentile: