Fuzzy multi-attribute cost–benefit analysis of e-services

✍ Scribed by Cengiz Kahraman; Nüfer Yasin Ates; Sezi Çevik; Murat Gülbay

• Publisher: John Wiley and Sons
• Year: 2007
• Tongue: English
• Weight: 179 KB
• Volume: 22
• Category: Article
• ISSN: 0884-8173
• DOI: 10.1002/int.20213

✦ Synopsis

E-service evaluation is a complex problem in which many qualitative attributes must be considered. These kinds of attributes make the evaluation process hard and vague. Cost-benefit analyses applied to various areas are usually based on the data under certainty or risk. In case of uncertain, vague, and/or linguistic data, the fuzzy set theory can be used to handle the analysis. In this article, after the evaluation attributes of e-services and the fuzzy multi-attribute decisionmaking methods are introduced, a fuzzy hierarchical TOPSIS model is developed and applied to an e-service provider selection problem with some sensitivity analyses. The developed model is a useful tool for the companies that prefer outsourcing for e-activities. It is shown that service systems can be effectively evaluated by the proposed method.