Generating consistent subjective estimates of the magnitudes of causal relationships in fuzzy cognitive maps

Authors:
Kweku-Muata Osei-Bryson
Affiliations:
Department of Information Systems and The Information Systems Research Institute, School of Business, Virginia Commonwealth University, Richmond, VA
Venue:
Computers and Operations Research
Year:
2004

Citing 4
Cited 5

Fuzzy cognitive maps

International Journal of Man-Machine Studies
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence

Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Fuzzy cognitive maps: a model for intelligent supervisory control systems

Computers in Industry - ASI 1997
Fuzzy cognitive map for the design of EDI controls

Information and Management

Unsupervised learning techniques for fine-tuning fuzzy cognitive map causal links

International Journal of Human-Computer Studies
Benchmarking main activation functions in fuzzy cognitive maps

Expert Systems with Applications: An International Journal
Introducing interval analysis in fuzzy cognitive map framework

SETN'06 Proceedings of the 4th Helenic conference on Advances in Artificial Intelligence
Rule-based FCM: a relational mapping model

DS'05 Proceedings of the 8th international conference on Discovery Science
A Fuzzy Inference Map approach to cope with uncertainty in modeling medical knowledge and making decisions

Intelligent Decision Technologies

Quantified Score

Hi-index	0.01

Visualization

Abstract

Fuzzy cognitive maps (FCM) are useful tools for exploring the impacts of different input states on fuzzy dynamical systems. The development of a FCM requires the specification of the signs and magnitudes of the relevant causal relationships by one or more experts based on subjective estimates of the causal relationships. However, while it is often relatively easy to determine the sign of the causal relationship, determination of of the magnitude is often problematic, and so in many cases only the signs are specified. However, if only the signs are specified, then only limited use can be made of the FCM. There is thus the need to provide an effective means for the generation of consistent estimates of the magnitude of each causal relationship. In this paper we present an integrated process for generating consistent subjective estimates of the magnitudes.