Open AccessApplication of fuzzy logic in performance management: a literature review
Author(s) -
Verónica Gurrea,
Juan-José Alfaro-Saíz,
Raúl Rodríguez Rodríguez,
María-José Verdecho
Publication year - 2014
Publication title -
international journal of production management and engineering
Language(s) - English
Resource type - Journals
eISSN - 2340-4876
pISSN - 2340-5317
DOI - 10.4995/ijpme.2014.1859
Subject(s) - fuzzy logic , bounding overwatch , computer science , bounded function , key (lock) , artificial intelligence , mathematics , mathematical analysis , computer security
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