نتایج جستجو برای: mamdani defuzzification method
تعداد نتایج: 1631003 فیلتر نتایج به سال:
Linear and Non-linear distortion influenced data transmission rate in communication system. In the presence of White Gaussian Noise linear distortion occurs in form of intersymbol interference (ISI) and co-channel interference (CCI). Amplifiers, modulator and demodulator subsystems are caused for Non-linear distortions along with nature of the medium. Different techniques are used to equalized ...
Centroid defuzzification and the maximizing set and minimizing set ranking based on alpha level sets
Article history: Received 27 April 2007 Accepted 17 November 2008 Available online xxxx
The authors apply the Generalized Rectangular Model (GRM) for assessing students’ critical thinking skills. GRM is a variation of the center of gravity (COG) defuzzification technique, which was properly adapted and used by them several times in the past as an assessment method, called here the Rectangular Model (RM). The central idea of the GRM is the “movement” to the left of the rectangles a...
DUCF: Distributed load balancing Unequal Clustering in wireless sensor networks using Fuzzy approach
Data gathering in wireless sensor networks (WSN) consumes more energy due to large amount of data transmitted. In direct transmission (DT) method, each node has to transmit its generated data to the base station (BS) which leads to higher energy consumption and affects the lifetime of the network. Clustering is one of the efficient ways of data gathering in WSN. There are various kinds of clust...
the planning of production and control of inventory problem is one of most important problems that companies are face with them. some times inattention to uncertainty in these problems causes to increase of costs of inventory control systems. one of the important ways encountering to uncertainty is the widespread of fuzzy sets instead of crisp numbers because in this approach, we can determine ...
In this paper a rewiev and a critical analysis of various, soft computing based, approximate reasoning methods is given, studied in the Phd thesis of the author. Since Mamdani first implemented a fuzzy logic controller it has also gone trough substantial theoretical developments and serious discussions about place of this method in theory of computational rule of inference. The paper gives a re...
The paper presents a short review of some main properties of the most general fuzzy systems used in a large class of practical applications. The fuzzy systems, implemented using different rule bases, fuzzy values, membership functions, fuzzyfication and defuzzification methods, may be classified based on these fuzzy methods used in their development. This paper proposes a unitary theory for des...
Classification of text and image using statistical features (mean and standard deviation of pixel color values) is found to be a simple yet powerful method for text and image segmentation. The features constitute a systematic structure that segregates one from another. We identified this segregation in the form of class clustering by means of Fuzzy C-Mean method, which determined each cluster l...
In this chapter, modeling and simulation of a Takagi–Sugeno based fuzzy logic control strategy in order to control one of the most important parameters of the IM, viz., speed, is presented. In the control of IMs, FLCs play a very important role. In this context, a novel FLC is developed based on the Takagi–Sugeno principles. This method gives very good response compared to other methods such as...
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