[PDF] Top 20 II. DATA INTERPRETATION WITH FUZZY LOGIC
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II. DATA INTERPRETATION WITH FUZZY LOGIC
... individually. Fuzzy logic provides mechanisms for heuristic human-like assess- ments of these ...and fuzzy logic mechanisms for analyzing order data on the other ... See full document
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INTERPRETATION OF NOISE POLLUTION EFFECTS ON HUMAN BEING USING FUZZY LOGIC TECHNIQUES
... The main thrust of the present work has been to develop a neuro-fuzzy model for the prediction of work efficiency as a function of noise level, type of tasks and exposure times. It is evident from the graph that ... See full document
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An Improved Microarray Gene Expression Classification Using Fuzzy Expert System and Ant Bee Algorithm S. Deepakkumar , M. Mohankumar, Dr. P. Murugeswari
... array data can be done effectively by means of fuzzy expert ...using fuzzy system is high perfection and minimum complexity in dealing with classification of medical ...on fuzzy expert system ... See full document
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Applications of fuzzy logic approach in image segmentation
... c data samples, and c < ...the data, constitutes the trivial case where each sample is in a “cluster” by ...of data: hard (or crisp) and soft (or fuzzy). For numerical data, one ... See full document
5
The Interpretation Of Dissolved Gas Analysis (DGA) Using Fuzzy Logic
... Interpretation of DGA is not science but also art as there is no precise interpretation methods available which can exactly pinpoint location and type of fault. DGA results only provide guidelines useful ... See full document
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Fuzzy Logic System for Menstrual Cycle Interpretation Based on BBT Data
... do interpretation automatically such as Artificial Neural Networks, Abstract: Basal body temperature (BBT) data have been used for so long as a simple method in estimating the day of ovulation occurred and ... See full document
5
Development Of Control System For Solar Plant Using Genetic Fuzzy PID Techniques
... In Table .3, to obtain the globally optimal values, parameters of the fuzzy controllers are obtained by means of genetic algorithms. Genetic Algorithms is a stochastic optimization algorithm is originally ... See full document
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Analysis and interpretation of geodetic landslide monitoring data based on fuzzy systems
... In the last few years, modern techniques like fuzzy sys- tems, neural networks and knowledge based systems started to be used also in geodesy (see e.g. Heine, 1999; Miima, 2002; Wieser, 2002). One advantage of ... See full document
6
Managing business processes using soft computing techniques – a literature review
... of data and real time decision making (Huang, Huang, Song & You, ...are Fuzzy logic (FL), neu- ral networks (NN) and probabilistic reasoning ... See full document
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Title: Attitude Control of Robotic System According to Fuzzy Logic
... and logic that is drawn in the robotics ...of Fuzzy Logic we know that it is a method of reasoning that resembles human ...of fuzzy logic imitates the way of decision making in humans ... See full document
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Development of Fuzzy Inference Scheme for LC Oscillator Design
... numerical data and conflicting issues raised by conventional design ...the Fuzzy Logic within the framework of ‘approximates reasoning’ in modeling the ‘trade-off’ solutions intermingled with ... See full document
8
Probabilistic Load Flow Solution Considering Optimal Allocation of SVC in Radial Distribution System
... The proposed approach is also tested on 69-bus radial distribution system shown in Fig. 15 [34]. CDF of the voltage at bus 27 and bus 65 without SVC are shown in Fig. 16. Table VII and Table VIII show the values of ... See full document
10
Indirect Position Estimation of Switched Reluctance Motor based on Flux Sensing Method
... training data and linguistic information of ANFIS and Fuzzy Logic algorithm makes the prediction of position nearer to actual position with minimal ...of data at every ... See full document
8
Microgrid in Grid Connected and Standalone Modes using Fuzzy Logic Controlled Storage
... The compensation to meet the demand by connecting the wind and solar energy with the locally connected battery. The fuzzy system is used to measure the maximum demand at the particular period and satisfy the load ... See full document
8
Fuzzy Boundary Attribute Transformation in Databases
... 245 Fuzzy Logic has also been applied for decision making. Fuzzy Logic has been combined with many other techniques including soft set theory, data mining, rough sets, data ... See full document
5
Point Data Pre-Processing Based on Fuzzy Logic for Reverse Engineering Modelling
... Considering the above mentioned, the stage of pre-processing the results of 3D- digitization, which includes error filtering, data smoothing and the most sophisticated process of data-point reduction, ... See full document
11
An intelligent KBS learning census data from examples
... Theories of causality in data and the role that learning paradigms play in generalising data, in particular evidential inductive learning schemes using fuzzy logic are [r] ... See full document
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DC motor speed control using fuzzy logic controller
... and fuzzy logic control have been proposed to improve system ...project, Fuzzy Logic Controller has been proposed for improvement and analysis of the system ... See full document
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DATA STORING AND RETRIEVAL METHOD IN BIG DATA USING FUZZY BASED SCALABLE CLUSTERING ALGORITHMS
... 2-factor data security defense method for cloud data storage organization which comprises of data associated is allowable to encrypt content with knowledge of distinctness of a consumer only, at the ... See full document
9
Soft-Computing Based Data Mining: A Review
... manipulate data. Data warehousing, a recently popularized term, refers to the current business trends in collecting and cleaning transactional data, and making them available for analysis and ... See full document
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