Decision making on container based logistics using fuzzy cognitive maps

Abstract

Fuzzy Cognitive Maps is a well established decision making technique that combines Artificial Neural Networks and Fuzzy Logic. In this paper we present Fuzzy Cognitive Maps for making decisions regarding Container based Logistics, based on the knowledge extracted by a domain expert. Based on this knowledge, a model of the interactions and causal relations among various key Logistics factors is created. Having the FCM created, it is examined both statically and dynamically. A number of scenarios are introduced and the decision making capabilities of the technique are presented by simulating these scenarios and finding the predicted outcomes according to the model and expert’s knowledge. FCM’s predicted consequences of specific decisions can be valuable to Decision Makers since they can test their decisions and proceed with them only if the results are desirable.