Conforming work teams within SMEs using Fuzzy Logic and Analytic Network Process (ANP)

Alexis Olmedo-Navarro, Carlos Keller Fuentes, Luis Amigo Vasquez, Javiera Jofre Utreras, Tatiana Arrieta-Barrios, Amaira Corrales-Paternina

Research output: Contribution to journalConference articlepeer-review

Abstract

The objective of this paper is to propose a quantitative methodology for the management of work teams through fuzzy logic and analytical network processing (ANP) for managerial decision-making in companies in the small and medium-sized business sectors. Through bibliographic research, the most influential variables were identified. The occurrences of these events were determined by the environment and their respective relevant variables for inclusion in the model. Qualitative data were transformed into quantitative data through fuzzy logic. The interactions of the variables among themselves in ANP were evaluated to estimate the best work teams or the members of each of them.

Original languageEnglish
Pages (from-to)952-957
Number of pages6
JournalProcedia Computer Science
Volume220
DOIs
Publication statusPublished - 2023
Event14th International Conference on Ambient Systems, Networks and Technologies Networks, ANT 2023 and The 6th International Conference on Emerging Data and Industry 4.0, EDI40 2023 - Leuven, Belgium
Duration: 15 Mar 202317 Mar 2023

Keywords

  • Analytical Network Processing
  • Fuzzy Logic
  • Managerial Decision Making
  • Work Teams

ASJC Scopus subject areas

  • General Computer Science

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