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Stability analysis of variation model for linguistic fuzzy modeling

Authors: Amir Abolfazl Suratgar; Seyyed Kamaleddin Yadavar Nikravesh;

Stability analysis of variation model for linguistic fuzzy modeling

Abstract

This paper presents two new approaches for linguistic modeling which are suitable for stability analysis of linguistic models. The first approach, which is named called Infinite Place model, is described by modified fuzzy Petri net and uses a new place definition based on physical infinity state. This method has some practical difficulties. In order to overcome practical difficulties, variation model is presented. The paper presents some definitions and a necessary and sufficient condition for linguistic fuzzy system stability. This stability analysis method is verified using a benchmark network simulation.

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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!
2
Average
Average
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