Fuzzy System
A Genetic Fuzzy System Based On Improved Fuzzy Functions
... of fuzzy sets, the number of fuzzy rules and the type of the rule base operators mentioned above, may have major positive effect on the modeling ...in fuzzy function systems as ...the fuzzy ...
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Electrical Load Forecasting Using Fuzzy System
... power system of a country, we need to forecast its demand in ...a fuzzy system to forecast electrical load on short-term ...the fuzzy system is found as ...power system of ...
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A NOVEL PREPROCESSING SYSTEM USING EVOLUTIONARY NEURO FUZZY SYSTEM
... the fuzzy AND of the antecedent part of the fuzzy rules, the third layer normalizes the membership functions (MFs), the fourth layer executes the consequent part of the fuzzy rules, and finally the ...
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Title: An Evolving Cascade Neuro-Fuzzy System for Data Stream Fuzzy Clustering
... neuro-fuzzy system for online fuzzy clustering was proposed in this ...each system‟s cascade solves the clustering task independently from others which makes it possible to increase a speed of ...
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A Similarity Based Fuzzy System as a Function Approximator
... conventional fuzzy systems characterized by a fixed fuzzy inference, a typi- cal fuzzy relation along with a defuzzification procedure do act as universal function approximators with a large number ...
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Title: Use of Fuzzy System in the Eye Images
... Article, fuzzy neighbors rules are exploited to detect blood vessels in eye ...A fuzzy system consists of four segments: Fuzzy rule base, fuzzy inference engine, fuzzifier and ...
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Adaptive Neuro-Fuzzy System for Cancer
... B. There are over 200 different types of cancer [11], each of which has a unique set of clinical characteristics, a specific treatment regime and a different chance of being cured (Khan et al. (2001)). Unfortunately, it ...
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MSAFIS: an evolving fuzzy inference system
... adaptive fuzzy inference system (SAFIS) is developed based on the functional equivalence between a radial basis function network and a fuzzy inference system (FIS) resulting in a ...
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A Multitarget Tracking Video System Based on Fuzzy and Neuro-Fuzzy Techniques
... A fuzzy system has been developed to ponder update decisions both for the trajectories and shapes estimated for targets from the image regions extracted in the ...the system capabilities to solve ...
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The Design of the Fuzzy Inference System for the Determination of Attention
... the fuzzy inference system and comparing it to the theta which is one of the EEG’s parameter to find the level of ...the fuzzy system, the data from 15 children out of 21 have shown the ...
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A Fuzzy Logic Based Trading System
... the fuzzy trading system fails to outperform TS and other ...the fuzzy system is not consistent over all trading ...the fuzzy system leads, in this trading window, to a ...the ...
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A Prediction System Based on Fuzzy Logic
... prediction system to predict the future occurrence of an event. Fuzzy logic, among the various available Artificial Intelligence techniques, emerges as an advantageous technique in predicting future ...of ...
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Optimization of Tsukamoto Fuzzy Inference System using Fuzzy Grid Partition
... [1]. Fuzzy systems are a part of soft computing that works on the discipline of vagueness and gives results in an interpretable ...manner. Fuzzy system makes use of fuzzy set theory, ...
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Fuzzy Inference System for an Integrated Knowledge Management System
... knowledge system of managing natural resource is a fuzzy ...such fuzzy knowledge systems and have proposed various methods for better analysis and ...constructed fuzzy membership functions for ...
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Fuzzy Expert System for the Detection of Glaucoma and Cataract
... proposes fuzzy based decision constructed to overcome glaucoma and cataract at initial ...stage. Fuzzy rule-based system helps the medical practitioners to give accurate results by considering ...
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Fuzzy Information Modeling in a Database System
... On the other hand, in many database systems, an important portion of information comes from human expert as well as numerical data, which is collected from various sources or obtained according to physical laws [3], [4]. ...
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Designing a Fuzzy Expert System to Evaluate Alternatives in Fuzzy Analytic Hierarchy Process
... Today there are two ways to build an expert system. They can be built from scratch, or built using a piece of development software known as a “tool” or a “shell”. Before we discuss these tools, let's briefly ...
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Reliability of Component based Software System using Fuzzy AHP and Fuzzy TOPSIS
... complex system using reusable ...The system becomes unreliable due to system crashes, inconsistent output, and unavailability of external system, databases and networks which may cause failure ...
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Automated fuzzy-clustering for Doctus expert system
... As fuzzy logic handles the “paradox of the pile of sand” [11] it offers itself to be an adequate ...the fuzzy clustering is not new at ...The fuzzy clustering algorithms matured and now we have ...
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Integration of fuzzy Shannon’s entropy with fuzzy TOPSIS for industrial robotic system section
... Hosseinzadeh, Lotfi and Fallahnejad (2010) extend the Shannon entropy for the imprecise data, especially interval and fuzzy data cases. In this paper we obtain the weights of criteria based on their method. The ...
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