Integrating Fuzzy C-Means and TOPSIS for performance evaluation: An application and comparative analysis

Chunguang Bai*, Dileep Dhavale, Joseph Sarkis

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

53 Citations (Scopus)

Abstract

In this paper we introduce a multi-method multiple criteria approach for evaluating the performance of organizations. Performance analysis may include both strategic and operational performance, as well as financial and other less tangible factors. This paper introduces the use of Fuzzy C-Means and TOPSIS for organizational performance evaluation purposes. Using real company data and balanced scorecard accounting and performance dimensions the methodology is applied and evaluated. The predictive abilities of the technique from an organizational performance evaluation approach are evaluated using this data. One of the results from the illustrative application is that economic performance evaluation is not the best predictor of overall viability of some organizations, especially e-commerce based organizations.

Original languageEnglish
Peer-reviewed scientific journalExpert Systems with Applications
Volume41
Issue number9
Pages (from-to)4186-4196
Number of pages11
ISSN0957-4174
DOIs
Publication statusPublished - 01.07.2014
MoE publication typeA1 Journal article - refereed

Keywords

  • 512 Business and Management
  • Performance evaluation
  • Fuzzy C-Means
  • TOPSIS

Fingerprint Dive into the research topics of 'Integrating Fuzzy C-Means and TOPSIS for performance evaluation: An application and comparative analysis'. Together they form a unique fingerprint.

Cite this