Evaluating organizational performance measures using fuzzy subsets
type: Item
instance of: scholarly article
title: Evaluating organizational performance measures using fuzzy subsets
zbMATH Open document ID: 0571.90048
DOI: 10.1016/0377-2217(85)90231-0
author: Stuart Jay Deutsch
author: Charles J. Malmborg
published in: European Journal of Operational Research
publication date: 1985-01-01T00:00:00Z
review text: The authors examine the use of a matrix structure for representing collections of performance measures as ordinary subsets of organizational activities. The linkage between organizational components and their activities gives rise to a representation of collections of performance measures as fuzzy subsets of organizational components. It is shown that the fuzzy representation can be used to compare alternative collections of performance measures and provide insights to the value of these collections of measures for decisionmaking and control purposes. An example involving the performance evaluation of university professors is presented.
Mathematics Subject Classification ID: 90B99
Mathematics Subject Classification ID: 03E72
zbMATH DE Number: 3912093
zbMATH Keywords: fuzzy sets
zbMATH Keywords: value function
zbMATH Keywords: matrix structure
zbMATH Keywords: collections of performance measures
zbMATH Keywords: organizational activities
zbMATH Keywords: fuzzy representation
MaRDI profile type: Publication
full work available at URL: 0377-2217(85)90231-0
OpenAlex ID: W1998855517
cites work: Measurable multiattribute value functions defined on binary attributes
cites work: Measurable Multiattribute Value Functions
cites work: Q4096943
description: scientific article; zbMATH DE number 3912093