Application of fuzzy logic in performance management: a literature review

Verónica Gurrea

Colombia

Universitat Politècnica de València

Departamento de Organización de Empresas

Juan-José Alfaro-Saiz

Spain

Universitat Politècnica de València

Departamento de Organización de Empresas

Raúl Rodríguez-Rodríguez

Spain

Universitat Politècnica de València

Departamento de Organización de Empresas

María-José Verdecho

Spain

Universitat Politècnica de València

Departamento de Organización de Empresas

Submitted: 2013-11-11

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Accepted: 2014-06-27

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Published: 2014-07-09

DOI: https://doi.org/10.4995/ijpme.2014.1859
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Keywords:

fuzzy logic, uncertainty, performance measurement, performance management, supply chain

Supporting agencies:

This research was not funded

Abstract:

Performance management has become in a key success factor for any organization. Traditionally, performance management has focused uniquely in financial measures, mainly using quantitative measures, but two decades ago they were extended towards an integral view of the organization, appearing qualitative measures. This type of extended view and associated measures have a degree of uncertainty that needs to be bounded. One of the essential tools for uncertainty bounding is the fuzzy logic and, therefore,the main objective of this paper is the analysis of the literature about the application of fuzzy logic in performance measurement systems operating within uncertainty environments with the aim of categorizing, conceptualizing and classifying the works written so far. Finally, three categories are defined according to the different uses of fuzzy logic within performance management concluding that the most important application of fuzzy logic that counts with a higher number of studies is uncertainty bounding.
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