A New Survey of types of Uncertainties in Nonlinear System with Fuzzy Theory
Publish place: International Journal of Mechatronics, Electrical and Computer Technology، Vol: 3، Issue: 9
Publish Year: 1392
Type: Journal paper
Language: English
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Document National Code:
JR_IJMEC-3-9_013
Index date: 4 April 2016
A New Survey of types of Uncertainties in Nonlinear System with Fuzzy Theory abstract
This paper is an attempt to introduce a new framework to handle both uncertainty and time in spatial domain. The application of the fuzzy temporal constraint network (FTCN) method is proposed for representation and reasoning of uncertain temporal data. A brief introduction of the fuzzy sets theory is followed by description of the FTCN method with its main algorithms. The paper then discusses the issues of incorporating fuzzy approachinto current spatio-temporal processing framework. The general temporal data model is extended to accommodate uncertainties with temporal data and relationships among events. A theoretical FTCN process of fuzzy transition for the imprecise information is introducedwith an example. A summary of the paper is given together with outlining some contributions of the paper and future research directions.
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A New Survey of types of Uncertainties in Nonlinear System with Fuzzy Theory authors
Fereshteh Mohammadi
School of Electrical and Computer Engineering, Shiraz University, Iran
Mohammad Bazmara
School of Electrical and Computer Engineering, Shiraz University, Iran