It is the cache of ${baseHref}. It is a snapshot of the page. The current page could have changed in the meantime.
Tip: To quickly find your search term on this page, press Ctrl+F or ⌘-F (Mac) and use the find bar.

Maxwell Science/Journal Page
  Home           Contact us           FAQs           
 
    Journal Page   |    Aims & Scope   |    Author Guideline   |    Editorial Board   |    Search
    Abstract
2013 (Vol. 5, Issue: 03)
Article Information:

Supplier Selection Based on Intuitionistic Fuzzy Sets Group Decision Making

Lei Wen, Rui Wang and Wei Zhao
Corresponding Author:  Lei Wen 

Key words:  Intuitionistic fuzzy sets, similarity, supplier selection, TOPSIS method, , ,
Vol. 5 , (03): 950-956
Submitted Accepted Published
June 20, 2012 July 28, 2012 January 21, 2013
Abstract:

The selection of suppliers had always been a key point of the supply chain management, directly impact the operation of supply chain. In this context, firstly introduced the study situation of supplier selection, established the evaluation index system based on the research and then puts forward a new method for supplier selection based on intuitionistic fuzzy sets. Finally, using an example to illustrate the application of indicators and the method provides a new method for supplier selection.
Abstract PDF HTML
  Cite this Reference:
Lei Wen, Rui Wang and Wei Zhao, 2013. Supplier Selection Based on Intuitionistic Fuzzy Sets Group Decision Making.  Research Journal of Applied Sciences, Engineering and Technology, 5(03): 950-956.
    Advertise with us
 
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
Submit Manuscript
   Current Information
   Sales & Services
   Contact Information
  Executive Managing Editor
  Email: admin@maxwellsci.com
  Publishing Editor
  Email: support@maxwellsci.com
  Account Manager
  Email: faisalm@maxwellsci.com
  Journal Editor
  Email: admin@maxwellsci.com
  Press Department
  Email: press@maxwellsci.com
Home  |  Contact us  |  About us  |  Privacy Policy
Copyright © 2009. MAXWELL Science Publication, a division of MAXWELLl Scientific Organization. All rights reserved