Fuzzy Expert Systems (FES)
Integrating multiple fuzzy expert systems under restricting requirements
... required. Fuzzy expert systems (FESs) are widely used to model expertise due to its capability to model real world values which are not always exact, but frequently vague, or ...multiple fuzzy ...
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Fuzzy Expert Systems (FES) for Medical Diagnosis
... for FES has found its applications in diagnosis, differential diagnosis, therapy, image analysis, pattern recognition, patient monitoring, medical data analysis, data bank, text analysis and of theory: ...
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Multiple parallel fuzzy expert systems utilizing a hierarchical fuzz model
... required. Fuzzy expert systems (FESs) are widely used to model expertises due to its capability to model real world values, which are not always exact, but frequently vague or ...Every FES ...
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Fuzzy Expert Systems (FES) for Medical Diagnosis
... mistake. Fuzzy logic presents powerful reasoning methods that can handle uncertainties and ...The Fuzzy Expert Systems (FES) define imprecise knowledge and offers linguistic concept ...
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Educational Advisor System Implemented by Web Based Fuzzy Expert Systems
... of Fuzzy expert systems has proposed new branches of sharing and dis- tributing ...web-based Fuzzy expert systems ...web-based FES from a standpoint of the benefits and ...
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CONTROLLING PIDs USING NEURO FUZZY EXPERT SYSTEMS.
... Proportional Integral Derivative (PID) controlling mechanism is found in several applications in industries where speed of motors or induction motors is to be controlled. The PID controller is specifically useful since ...
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Developing Web based Semantic and Fuzzy Expert Systems using Proposed Tool
... and fuzzy expert systems, an expert system tool can be used, which allow experts and knowledge engineers to create these systems and that users use the ...an expert system based ...
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Fuzzy Expert Systems and Fuzzy Reasoning William Siler pdf
... Rule-based systems require that the expert’s knowledge and thinking patterns be explicitly ...domain expert, who knows how to solve the problem at hand but who is seldom acquainted with computer ...
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Toward efficient modeling of fuzzy expert systems: a survey
... modelování fuzzy znalostních systémů, které vykazují značnou použitelnost v posledních desetiletích díky své schopnosti vyrovnat se s neurčitostí, nepřesností a subjektivností, což jsou přirozené vlastnosti ...
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Application of Fuzzy Expert Systems in Assessing Risk Management in the US Army
... using fuzzy systems to forecast supply chain risk based on a number of factors within a ...uses fuzzy logic and the example is prepared using ...
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Rating and ranking firms with fuzzy expert systems: the case of Camuzzi
... Twenty-one value drivers are defined, concerning the target firm strategic assets in place and expected financial performance, the acquisition synergies, quality of management and the se[r] ...
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Generic Medical Fuzzy Expert System for Diagnosis of Cardiac Diseases
... practitioner. Fuzzy logic presents powerful reasoning methods that can handle uncertainties and ...The Fuzzy Expert Systems (FES) define imprecise knowledge and offers linguistic ...
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Optimized Scheduling of Generating Unit for Economic Load Dispatch using Neuro Fuzzy Expert Systems
... power systems, an interconnection of power systems generating from different sources have come into ...an expert neuro-fuzzy system for operation of power generation to attain the condition of ...
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Proposing an Optimum Model for Time Estimation of Construction Projects in Iranian Gas Refineries
... and fuzzy expert systems in order to provide comprehensive project time estimation and in this regard, reviews the results of the implementation of this model in construction projects of Iranian gas ...
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Diagnosis, Modeling and Prognosis of Learning System using Fuzzy Logic and Intelligent Decision Vectors
... paper fuzzy Expert Systems are used that are based on fuzzy logic and intelligent decision vectors to handle the quantitative as well as qualitative aspects in measuring the performance of an ...
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Research on DC Charger Control Based on Expert Fuzzy PID
... intelligent fuzzy control technology to make the development of the charger made great achievements The traditional charger as the low power factor and low efficiency Large harmonic content Charging ways such as ...
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A Neuro-Fuzzy System For Diagnosis of Soya-Beans Diseases
... on fuzzy-logic technique; having symptoms as linguistic values being converted into fuzzy-sets with the help of triangular and trapezium membership functions and adopted Center of Area (COA) as the ...
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A Novel TOPSIS MABAC Method for Multi attribute Decision Making with Interval Neutrosophic Set
... some decision problems. Then some aggregation operators based on these were proposed by Xu [5-6] and some methods for MADM with IFS were proposed in [7-8]. Furthermore, Atanassov and Gargov [4,9] extended the membership ...
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Addition two generalized fuzzy numbers
... (at) fuzzy number. Therefore, it is necessary to conserve this atness into the resultant generalized fuzzy number. In this respect Chen's approach is incomplete and hence loses its signicance. In view of ...
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Pest activity prognosis in rice fields using fuzzy expert system approach
... Due to the capability of fuzzy logic and expert system, pest activity prognosis in rice field using fuzzy expert approach was developed to provide information to the farmers and research[r] ...
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