Application of the Choquet Integral: A Case Study on a Personnel Selection Problem

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.

Personnel selection system based on the selection algorithm

“…Personnel selection systems are decision support systems that generate a result showing a ranking for each potential employee, so that management decision makers can see the capability of each potential employee based on the ranking [5,6,14]. Generally speaking, it can be stated that personnel selection systems are among the most complex organizational and intellectual processes and of necessary precision [15,16] There are organizations that already apply personnel selection systems in order to optimize this activity [9]; something that as a result of the pandemic contingency has forced other organizations to use and implement this type of systems [17], in this way the use of personnel selection systems is beginning to become widespread around the world.…”

A Spherical Fuzzy Framework for Sales Personnel Selection

“…Personnel selection is a structured and scientific process that bears on strategic decision making as reflected in the work of del Carmen Espinosa Robert et al (2022) which aimed to provide a TOPSIS based model for selection of software professionals. Dumnić et al (2022) further extended the growing strand of the volume by incorporating fuzzy Choquet integral for handling uncertainty associated with the interdependency of the criteria used to select a qualified personnel. The authors considered characteristics of the candidates, their orientation toward tasks, interpersonal skills and communication.…”

Some interactive uncertain linguistic aggregation operators based on Shapley function and their application

“…All these linguistic aggregation operators are based on the assumption that the elements in a set are independent, i.e., they only consider the independent situation of the importance of individual elements. However, in many practical situations, the elements are usually correlative (Grabisch 1995;Meng et al 2015;Tan 2011;Xu 2010;Xu and Xia 2011;Dumnić et al 2022), which means that it is unreasonable to aggregate the values of elements using additive measures. To reflect the interdependent characteristics between elements, many aggregation operators are presented in the setting of intuitionistic fuzzy sets (Tan 2011;Xu 2010;Xu and Xia 2011;Meng and Chen 2016a, b;Jia and Wang 2022;Keikha et al 2021), and there is only one linguistic aggregation operator (Tan et al 2011) that considers the correlative characteristics between elements.…”