Supply side risk assessment: an application of Yager's methodology based on fuzzy sets Online publication date: Wed, 09-Jun-2010
by Kunal K. Ganguly, Kalyan Kumar Guin
International Journal of Business Continuity and Risk Management (IJBCRM), Vol. 1, No. 2, 2010
Abstract: This paper discusses the potential application of fuzzy set theory in the area of supply side risk assessment using linguistic variables/values. The application has been illustrated through its use in a process industry. Yager's methodology for ordinal multi-objective decisions based on fuzzy sets has been chosen since the model only demands ordinal information of expert's preferences and the importance of each individual factor. It allows supply chain risk evaluation, ranking and prioritisation based on expert's knowledge, experiences and opinions. Moreover, this model can be used by the practicing managers who may not be having in-depth knowledge on fuzzy mathematics. Typical supply related risks in a process industry have been used in this application.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Business Continuity and Risk Management (IJBCRM):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com