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Constructing fuzzy cognitive maps

Authors: M. Schneider; E. Shnaider; A. Kandel; G. Chew;

Constructing fuzzy cognitive maps

Abstract

This paper describes the method for automatically constructing fuzzy cognitive maps based on the user-provided data. This method consists of finding the degree of similarity between any two variables (represented by numerical vectors), finding whether the relation between variables is direct or inverse, and with the help of the fuzzy expert system tool (FEST) it establishes the causality among variables. >

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Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
25
Average
Top 10%
Top 10%
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