fuzzy knowledge-based system
Fuzzy Knowledge Based Expert System for Prediction of Color Strength of Cotton Knitted Fabrics
... The fuzzy knowledge based system is in fact one kind of modeling tool which has been used to develop an intelligent model for the prediction of color strength of three types of cotton knitted ...
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A Knowledge Measure with Parameter of Intuitionistic Fuzzy Sets
... of fuzzy sets [3]. Fuzzy entropy is one of the most important methods to measure the degree of disorder in fuzzy sets, and knowledge measure is one of the most important bases for measuring ...
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Design and Development and Hardware Implementation of Fuzzy Knowledge Based Intelligent Temperature Control System
... the fuzzy chip and controlled the ...the fuzzy chip ...the fuzzy controller. So in this design the fuzzy controller works like a fuzzy proportional ...
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Feature-based hybrid inspection planning for complex mechanical parts
... (2002) developed a knowledge-based inspection planning system using a hybrid Neuro-Fuzzy method with weight parameters optimized using GAs. The knowledge-based system integrates part g[r] ...
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Fuzzy Inference System for an Integrated Knowledge Management System
... explored knowledge on typical environmental conditions on each soil type and on correspondence between soil types and changes in environmental ...descriptive knowledge obtained from other sources could be ...
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A Genetic Fuzzy System Based On Improved Fuzzy Functions
... of fuzzy sets, as an additional ...unique fuzzy rule in terms of functions and using them as additional input variables to explain the output in local ...the fuzzy operators and only require the ...
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A Novel Fuzzy Based DC–DC Boost Converter with Balanced Output & High Voltage Gain
... The fuzzy inference system combines fuzzy IF–THEN rules for mapping from fuzzy sets in the input space X to the output space Y based on fuzzy logic ...In fuzzy logic, ...
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Knowledge Based System Using Fuzzy Logic for Soybean Crop with Special Reference to Nutrition Management
... of Knowledge Based system using Fuzzy Logic in Agriculture ...advisory system into different domains like Fertilizer Management, Weed Management ...this system can be proved an ...
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Energy based Battery Management System for Microgrids using Fuzzy Logic Controller
... heuristic knowledge suggest the use of Fuzzy Logic Control to the design of the EMS for the case under study, since this approach easily integrates the experience of the user rather than using a ...
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DESIGN, ANALYSIS AND OPTIMIZATION OF A MICROSTRIP PATCH ANTENNA AT FREQUENCY 3 55 GHZ FOR WIMAX APPLICATION
... Looney’s fuzzy reasoning algorithm supported by Fuzzy Petri Net(FPN)is further extended for representing the fuzzy production rules in a knowledge based system which is provided ...
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Development of fuzzy logic based internet of things technology for fire monitoring system residential fire
... concepts. Fuzzy sets and logic are introduced by ...involving knowledge expressed in vague, linguistic terms. In other words, fuzzy logic became a mathematical discipline for describing human ...
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Adaptive Neuro-Fuzzy Inference System Based Grading of Basmati Rice Grains Using Image Processing Technique
... huller system followed by whitening ...built based on morphological features using digital image processing and knowledge based adaptive neuro-fuzzy inference system ...
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Software Quality Prediction using Fuzzy Rule based System
... term fuzzy identification usually refers to the techniques and algorithms for constructing fuzzy models from ...expert knowledge in a verbal form is translated into a set of if– then ...type ...
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A New Method to Optimize the Maintenance Strategy of HVDC Transmission System
... grid based on Fuzzy comprehensive evaluation. In fuzzy comprehensive evaluation, the target will be described by several factors, which are called evaluation index set ...the fuzzy mapping, we ...
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Alternative Fuzzy Algebra for Fuzzy Linear System Using Cramers Rules on Fuzzy Trapozoidal Number
... positive fuzzy number and negative fuzzy number using the area of positive-x axis and negative-x axis, and then will given algebra modification in multiplying two numbers of ...linear system will be ...
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Importance of organizational knowledge system
... The lecturer “Ala Grad” adviser in Excellence, training and member of the Board of Trustees of the Emirates College of Technology known institutional learning that «the process of amending the institutional behavior by ...
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Modeling Academic Performance Evaluation using Fuzzy C Means Clustering Techniques
... CONCLUSION AND FUTURE WORK In this paper, we have proposed rule based Fuzzy Expert system for students’ academic performance evaluation based Fuzzy CMeans Clustering Algorithm, Fuzzy Log[r] ...
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Classification of MRI Brain Images Using Neuro Fuzzy Model
... A neuro-fuzzy classifier is used to detect the abnormalities in the MRI brain images. Generally the input layer consist of seven neurons corresponding to the seven features. The output layer consist of one neuron ...
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STUDY OF ISSUES IN AUTOMATIC VEHICLE OVERTAKING SYSTEM FOR ACCIDENT AVOIDANCE
... Calibrating the alignment of automotive distance radar modules during installation and subsequent service in automotive workshops by means of directly analyzing the direction of the radar beam is a challenging task ...
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