An Interval Type-2 Fuzzy Distribution Network

Abstract-- Planning resources for a supply chain is a major factor determining its success or failure. In this paper we introduce an Interval Type-2 Fuzzy Logic model of a distribution network. It is believed that the additional degree of uncertainty provided by Interval Type-2 Fuzzy Logic will allow for better representation of the uncertainty and vagueness present in resource planning models. First, the subject of Supply Chain Management is introduced, then some background is given on related work using Type-1 Fuzzy Logic. A description of the Interval Type-2 Fuzzy model is given, and a test scenario detailed. A Genetic Algorithm uses the model to search for a near-optimal plan for the scenario. A discussion of the results follows, along with conclusions and details of intended further work. Keywords-- Distribution model, Evolutionary Computing, Interval Type-2 Fuzzy Logic, Resource Planning, Supply Chain Management

• Type: Journal
• Year: 2009
• Where: EUSFLAT
• Authors: Simon Miller, Viara Popova, Robert John, Mario A. Góngora
• Keywords: EUSFLAT 2009, Fuzzy Logic, Interval Type-2, Supply Chain, Type-2 Fuzzy Logic