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Moving Object Detection and Tracking Based on Three-Frame Difference and Background Subtraction with Laplace Filter Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Improved Behavioral Analysis of Fuzzy Cognitive Map Models

Authors : Miklós F. Hatwagner, Gyula Vastag, Vesa A. Niskanen, László T. Kóczy

Published in: Artificial Intelligence and Soft Computing

Publisher: Springer International Publishing

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Abstract

Fuzzy Cognitive Maps (FCMs) are widely applied for describing the major components of complex systems and their interconnections. The popularity of FCMs is mostly based on their simple system representation, easy model creation and usage, and its decision support capabilities.
The preferable way of model construction is based on historical, measured data of the investigated system and a suitable learning technique. Such data are not always available, however. In these cases experts have to define the strength and direction of causal connections among the components of the system, and their decisions are unavoidably affected by more or less subjective elements. Unfortunately, even a small change in the estimated strength may lead to significantly different simulation outcome, which could pose significant decision risks. Therefore, the preliminary exploration of model ‘sensitivity’ to subtle weight modifications is very important to decision makers. This way their attention can be attracted to possible problems.
This paper deals with the advanced version of a behavioral analysis. Based on the experiences of the authors, their method is further improved to generate more life-like, slightly modified model versions based on the original one suggested by experts. The details of the method is described, its application and the results are presented by an example of a banking application. The combination of Pareto-fronts and Bacterial Evolutionary Algorithm is a novelty of the approach.

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Metadata
Title
Improved Behavioral Analysis of Fuzzy Cognitive Map Models
Authors
Miklós F. Hatwagner
Gyula Vastag
Vesa A. Niskanen
László T. Kóczy
Copyright Year
2018
Book
Artificial Intelligence and Soft Computing

Print ISBN: 978-3-319-91261-5

Electronic ISBN: 978-3-319-91262-2

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-91262-2_55

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