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knowledge-based fuzzy logic

Evaluating Knowledge Management Processes: A Fuzzy Logic Approach

Evaluating Knowledge Management Processes: A Fuzzy Logic Approach

... Take knowledge acquisition as an example. First, each input score is fuzzified by the triangular membership functions into a membership value between 0 and 1. The maximum value for each rule is then selected by ...

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Knowledge Based System Using Fuzzy Logic for Soybean Crop with Special Reference to Nutrition Management

Knowledge Based System Using Fuzzy Logic for Soybean Crop with Special Reference to Nutrition Management

... :Knowledge Based System is an application program that makes decisions or solves problem in particular area such as Finance, Medicine, Agriculture ...using knowledge and analytical rules defined by ...

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Effective Personalization of web search based on
          Fuzzy Information Retrieval

Effective Personalization of web search based on Fuzzy Information Retrieval

... [17] fuzzy logic is considered as a necessity to add deductive capability to a search ...engine based on the concept and framework of protoforms. In [12] fuzzy conceptual graph is implemented ...

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A Novel Fuzzy Based DC–DC Boost Converter with Balanced Output & High Voltage Gain

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 ...

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To Design and Implement Neural Network and Fuzzy Logic for Software Development Effort Prediction

To Design and Implement Neural Network and Fuzzy Logic for Software Development Effort Prediction

... word Fuzzy is defined as blurred, indistinct, imprecisely defined, confused or ...vague. Fuzzy systems are knowledge based or rule based systems ...a fuzzy system is a ...

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Fuzzy Logic based Decision Support System for Mass Customization

Fuzzy Logic based Decision Support System for Mass Customization

... The knowledge of most customers is incomplete and vague due to complexity of modern ...Intelligence based Customization System as shown in the Figure 1, particularly the fuzzy logic ...

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A Prediction System Based on Fuzzy Logic

A Prediction System Based on Fuzzy Logic

... AI based prediction models can be classified into four groups: models based on neural networks, fuzzy logic, genetic algorithm and expert ...reasoning, fuzzy logic is a natural ...

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Fuzzy Logic Based CSTR Control

Fuzzy Logic Based CSTR Control

... The rules defined in fuzzy controller are used to indicate a relation between the input and the output which are obtained by knowledge of the system design. The rules can then be defined by the linguistic ...

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Type-2 Fuzzy Logic based Systems for Adaptive Learning and Teaching within Intelligent E-Learning Environments

Type-2 Fuzzy Logic based Systems for Adaptive Learning and Teaching within Intelligent E-Learning Environments

... the knowledge and preferred learning styles of the ...levels based on utilising visual information to automatically calculate the engagement degree of the ...This fuzzy model is generated from data ...

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State-of-the-Art Congestion Control Protocols in WSN: A Survey

State-of-the-Art Congestion Control Protocols in WSN: A Survey

... traffic- based and ...local knowledge of the nodes along with their topological deployment and bandwidth ...are based on automata, neural network, fuzzy logic and machine learning At ...

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Implementation of Fuzzy Logic Controller (FLC) for DC-DC Boost Converter Using Matlab/Simulink

Implementation of Fuzzy Logic Controller (FLC) for DC-DC Boost Converter Using Matlab/Simulink

... B. Fuzzy logic controller modeling using Matlab/Simulink The boost dc-dc converter is a nonlinear function of the duty cycle because of the small signal model and its control method was applied to the ...

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Optimization of Tsukamoto Fuzzy Inference System
using Fuzzy Grid Partition

Optimization of Tsukamoto Fuzzy Inference System using Fuzzy Grid Partition

... Fuzzy logic is determined as a set of mathematical principles for knowledge representation based on degrees of membership rather than on crisp membership of classical binary logic ...

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The Section on Medical Expert and Knowledge-Based Systems at the Department of Medical Computer Sciences of the University of Vienna Medical School

The Section on Medical Expert and Knowledge-Based Systems at the Department of Medical Computer Sciences of the University of Vienna Medical School

... and Knowledge-Based Systems at the Department of Medical Computer Sciences pursues methodological research in and practical development of knowledge- based computer systems to assist in the ...

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Comparative Study of a Fuzzy Logic Based Controller and a Neuro-Fuzzy logic Based Controller for Computer Fan

Comparative Study of a Fuzzy Logic Based Controller and a Neuro-Fuzzy logic Based Controller for Computer Fan

... of fuzzy logic and artificial neural network as well as the combination of both are introduced to build controllers so as to improve the performance of computer fan [5, 6, ...Since fuzzy logic ...

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A Logic Framework for Non-Conscious Reasoning

A Logic Framework for Non-Conscious Reasoning

... In this paper, a framework for non-conscious ways of reasoning has been presented based on fuzzy 305. multivalued logic, fuzzy semantics and frame oriented knowledge representation[r] ...

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Chapter06(2)_Specialized Application Software (cont.)

Chapter06(2)_Specialized Application Software (cont.)

...  Discuss artificial intelligence including virtual reality, immersive experiences, virtual reality walls, knowledge-based systems, knowledge bases, fuzzy logic,.[r] ...

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A Fuzzy logic Approach for Continuous Co polymerization Reactor Control Problem

A Fuzzy logic Approach for Continuous Co polymerization Reactor Control Problem

... controller based on operator ...of fuzzy sets developed helps in enable us to mathematically describe and handle these linguistic ...FLC based on fuzzy logic provides a mean of ...

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Comparison Linear And Nonlinear Model For Fuzzy Logic
Controller Design Of A Cruise Control System

Comparison Linear And Nonlinear Model For Fuzzy Logic Controller Design Of A Cruise Control System

... the fuzzy logic controller are: (1) extracting a model from fuzzy logic system is ...(2) Fuzzy system requires finer tuning before they are ...

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A Fuzzy Logic Based Trading System

A Fuzzy Logic Based Trading System

... Technical analysts seek patterns, trends and other factors in price series, which may predict a stock’s future performance and then make buy/sell decisions based on those factors. These factors are usually defined ...

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STUDY OF ISSUES IN AUTOMATIC VEHICLE OVERTAKING SYSTEM FOR ACCIDENT AVOIDANCE

STUDY OF ISSUES IN AUTOMATIC VEHICLE OVERTAKING SYSTEM FOR ACCIDENT AVOIDANCE

... Recently, various electronic control techniques and control systems, such as anti-lock braking system, traction control system, and so on are being developed greatly and applied widely to improve the ride comfort, safety ...

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