ISSI Adjustment using Fuzzy Inference System
Optimization of Tsukamoto Fuzzy Inference System using Fuzzy Grid Partition
... Tsukamoto fuzzy inference ...solve using Tsukamoto Fuzzy Inference ...will using the linkable label of the variable that construct from the Fuzzy Grid Partition in ...
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Project Risk Assessment Using Fuzzy Inference System
... a fuzzy rule is based on computing the truth value of its antecedent and applying it to its ...one fuzzy subset to each output variable ...of fuzzy rules are labelled with AND logical operation then ...
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Medical decision support system using Fuzzy Cognitive Mapping& Fuzzy Inference System
... 8 Fuzzy inference system rule viewer V CONCLUSION Medical decision support system is presented ...nature. Fuzzy cognitive map is well suited for modelling and decision. A Fuzzy ...
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Survey of fuzzy inference model and impact on QOS parameters using adaptive neuro fuzzy inference system in MANET
... proposed Fuzzy logic control method to improve the performance and reliability of the multicast routing protocols in ...nodes. Fuzzy logic is proposed to distinguish the strong and weak nodes in the ...
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Identifying Risk Factors of Diabetes using Fuzzy Inference System
... The fuzzy inference system is a model with well-defined input and output along with a processing module that carries out all the computation at the linguistic ...of fuzzy inference ...
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Operational Risk Management using a Fuzzy Logic Inference System
... since inference rules cover all possible combinations of KRI levels, an estimated loss amount can be calculated for the current levels of each KRI, resulting in a expected OR dollar- loss; in this case, instead of ...
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Evaluation of Students Performance using Hierarchical Fuzzy Inference System
... uses fuzzy logic in order to represent the knowledge of experts about certain problem in a systematic ...evaluation, using traditional FIS generate huge number of fuzzy rules, which leads to high ...
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Hybrid Algorithm for Edge Detection using Fuzzy Inference System
... on fuzzy inference system. Fuzzy inference system has been designed for three inputs using Gaussian membership functions, one output using Triangle membership ...
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Honey Yield Prediction Using Tsukamoto Fuzzy Inference System
... Abstract— Honey is a natural product of bee. Since ancient times, honey has been known by humans as a source of natural food and also for traditional medicine. There are so many beneficial of honey, make people trying to ...
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Prioritization of Sustainable Production Indicators Using Fuzzy Inference System
... is using non-polluting processes and systems by considering energy conservation and natural resources, which is sustainable in terms of economic, safety and health for employees, society and ...in using ...
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Image Enhancement using Hybrid Fuzzy Inference System (IEHFS)
... IEHFS, Wiener filter, Median filter, Top hat and bottom hat, PSNR, SSIM 1. INTRODUCTION Biometric identification has taken the highest priority in identification techniques as it is secure, easily accessible and no need ...
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Load Balancing Using Fuzzy Inference System in Distributed Computing
... Systems, Fuzzy Inference System, Resource Utilization Introduction Load balancing is a strategy to share jobs between multiple PCs, system terminals or different resources, so as to obtain ...
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Image Enhancement Using Adaptive Neuro-Fuzzy Inference System
... trained images Although the density of the corrupting noise is not very critical regarding training performance, it is experimentally observed that the proposed operator exhibits the best filtering performance when the ...
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An Efficient Weather Forecasting System using Adaptive Neuro Fuzzy Inference System
... methods. Fuzzy logic acts as a significant function in decision making ...are fuzzy systems which utilizes Artificial Neural Network for the purpose of identifying their properties (fuzzy sets and ...
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OPTIMIZATION OF TRAFFIC LIGHT CONTROL SYSTEM OF AN INTERSECTION USING FUZZY INFERENCE SYSTEM
... control system of an intersection for the purpose of minimizing the effects of traffic jam and hence its attendant consequences such as prolonged waiting time, emission of toxic hydrocarbons from automobiles, ...
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MSAFIS: an evolving fuzzy inference system
... Online learning faces the challenge of accurately estimat- ing models using incoming data whose statistical character- istics are not known a priori. In non-stationary environments, the challenge becomes even more ...
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Edge Detection Fuzzy Inference System
... 2 Assitant Professor, Department of IT, GNDEC, Ludhiana Abstract — In this paper a method has been developed for automatic edge detection of an digital image. An edge is made up of those pixels at which there is an ...
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Reference evapotranspiration estimation using adaptive neuro-fuzzy inference system
... potential of the Adaptive Neuro-Fuzzy Inference System ANFIS technique for daily reference evapotranspiration modeling under arid, semi arid and humid conditions of Iran.. The Gamma Test[r] ...
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Sleep Apnea Detection Using Adaptive Neuro Fuzzy Inference System
... This paper presents an efficient and easy implemented method for detecting minute based analysis of sleep apnea. The nasal, chest and abdominal based respiratory signals extracted from polysomnography recordings are ...
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Voltage Stability Monitoring Using Adaptive Neuro-Fuzzy Inference System
... NEURO FUZZY INFERENCE SYSTEMhave recently received widespread attention from researchers for this ...implemented using multi-layered feed-forward neural networks trained by back propagation because ...
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