The Fuzzy ART algorithm: A categorization method for supplier evaluation and selection


Keskin G. A. , Ilhan S., Ozkan C.

EXPERT SYSTEMS WITH APPLICATIONS, vol.37, no.2, pp.1235-1240, 2010 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 37 Issue: 2
  • Publication Date: 2010
  • Doi Number: 10.1016/j.eswa.2009.06.004
  • Title of Journal : EXPERT SYSTEMS WITH APPLICATIONS
  • Page Numbers: pp.1235-1240
  • Keywords: Supplier evaluation and selection, Fuzzy Adaptive Resonance Theory (Fuzzy ART), Clustering analysis, DECISION-MAKING PROCESS, MULTIPLE CRITERIA, NEURAL-NETWORK, ALLOCATION

Abstract

For most of managers purchasing is a strategic issue. Thus. to select the suitable Suppliers has strategic importance for every company The objective Of Supplier selection is to reduce purchasing risk. maximize overall value to the purchaser and build a long term, reliable relationship between buyers and suppliers Many methods have been proposed and used for supplier evaluation and selection, most of them try to rank the Suppliers from the best to the worst and to choose the appropriate supplier(s). Supplier evaluation and selection is a complex and typical multi criteria decision-making problem. Because of human judgment needs in many area of supplier selection Such as preferences on alternatives or on the attributes Of Suppliers or the class number and borders supplier selection becomes more difficult and risky