J. C. Leyva-López, Jesus Jamie Solano-Noriega, Diego Alonso Gastélum-Chavira, Teodoro Gaxiola-Valenzuela
{"title":"A Personnel Selection Model for a Software Development Company based on the ELECTRE III Method and a Variant of NSGA-II","authors":"J. C. Leyva-López, Jesus Jamie Solano-Noriega, Diego Alonso Gastélum-Chavira, Teodoro Gaxiola-Valenzuela","doi":"10.15446/innovar.v32n85.100657","DOIUrl":null,"url":null,"abstract":"Personnel selection represents a valuable decision-making process that determines, in some way, the competitiveness and performance of an organization. The essential elements of the personnel selection task are the position requirements and the accessible information related to candidates. In this paper, the personnel selection task is modeled as a multicriteria decision-making problem, considering varied competencies and skills to assess the applicants for a specific position. We used this multicriteria model to solve personnel selection cases using sadgage, a decision support system that solves examples of the multicriteria ranking problem in decreasing order based on the preferences of the decision-maker. The electre-iii method is embedded in the software in order to construct a fuzzy outranking relation and a multi-objective evolutionary algorithm to exploit such relation and generate a ranking as a recommendation. This work presents a practical application to a personnel selection problem that evaluates a group of applicants to a software developer job in an enterprise based in northwestern Mexico. We show how the proposed multicriteria procedure offers a recommendation to the decision-maker about the applicants in decreasing order of preferences.","PeriodicalId":40012,"journal":{"name":"Innovar","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Innovar","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15446/innovar.v32n85.100657","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 1
Abstract
Personnel selection represents a valuable decision-making process that determines, in some way, the competitiveness and performance of an organization. The essential elements of the personnel selection task are the position requirements and the accessible information related to candidates. In this paper, the personnel selection task is modeled as a multicriteria decision-making problem, considering varied competencies and skills to assess the applicants for a specific position. We used this multicriteria model to solve personnel selection cases using sadgage, a decision support system that solves examples of the multicriteria ranking problem in decreasing order based on the preferences of the decision-maker. The electre-iii method is embedded in the software in order to construct a fuzzy outranking relation and a multi-objective evolutionary algorithm to exploit such relation and generate a ranking as a recommendation. This work presents a practical application to a personnel selection problem that evaluates a group of applicants to a software developer job in an enterprise based in northwestern Mexico. We show how the proposed multicriteria procedure offers a recommendation to the decision-maker about the applicants in decreasing order of preferences.
InnovarSocial Sciences-Sociology and Political Science
CiteScore
1.40
自引率
0.00%
发文量
16
审稿时长
53 weeks
期刊介绍:
INNOVAR is a journal that publishes top research in organizations from social sciences and other fields. Its target is composed by professionals and scholars. INNOVAR is indexed in recognized international databases as Scopus. In light of its quality and visibility, in Colombia INNOVAR have the highest category in the National Bibliographic Index of Colombian scientific and technological publications (A1). INNOVAR publishes original works, result of rigorous research, from different approaches in social and management sciences, without biases to certain methodological perspectives.