Tree-Structured Multi-Layer Fuzzy Cognitive Maps for Modelling Large Scale, Complex Problems

This paper proposes tree structured multi-layer fuzzy cognitive maps for modelling large-scale and complex real world problems and supporting the decision making process. Large-scale problems are characterized by a large number of parameters, concepts, variables, nonlinearities and uncertainties tha...

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Bibliographic Details
Main Authors: Mateou, N.H., Andreou, A.S.
Format: Conference Proceeding
Language:English
Subjects:
Algorithm design and analysis
Computational intelligence
Computational modeling
Computer science
Decision making
Fuzzy cognitive maps
Information systems
Intelligent systems
Large-scale systems
Uncertainty
Online Access:Request full text
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Summary:This paper proposes tree structured multi-layer fuzzy cognitive maps for modelling large-scale and complex real world problems and supporting the decision making process. Large-scale problems are characterized by a large number of parameters, concepts, variables, nonlinearities and uncertainties that make their analysis and modelling a very difficult task. The objective of the proposed methodology is to give an alternative approach for dealing with the aforementioned difficulties, offering a new computational algorithm designed so as to support the creation of layers of parameters and variables describing the system under study, as well as the simulation of its evolution dynamics
DOI:10.1109/CIMCA.2005.1631457