Fuzzy decision
Model predictive control using fuzzy decision functions
... • Only short-term predictions (a few steps ahead) are used in the objective function. This method is usually applied in predictive control when the available model of the system is not very accurate, and cannot predict ...
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Prediction of Dumping a Product in Textile Industry
... a decision tree for classifying the data. Fuzzy ID3 algorithm is extended to apply to a fuzzy set of data (several data with membership grades) and generates a fuzzy decision tree using ...
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An Application of Fuzzy Set and Approximate Reasoning for Quantitative Assessment of Group Personality
... many decision-making methods is the precise evaluation of the pertinent ...real-life decision-making applications data are imprecise and ...A decision maker may encounter difficulty in quantifying ...
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Neutrosophic Fuzzy MAGDM using Maximal Entropy OWA Weights
... intuitionistic fuzzy set (IFS), which is a generalization of the concept of fuzzy ...discussed decision making operators in interval valued intuitionistic fuzzy ...in fuzzy ...
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A new approach to solve fully fuzzy linear programming problem
... the fuzzy decision framework of Bellman and Zadeh ...of fuzzy LP models, in the literature, the fuzzy LP has been classified into different categories, depending on how imprecise parameters ...
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A Variable Precision Fuzzy Rough Set Approach to a Fuzzy Rough Decision Table
... and fuzzy. In order to make decision in fuzzy approximation space, a fuzzy VPRS (variable precision rough set) approach is proposed based on substitution of the indiscernibility relation by a ...
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Transformation of BL-general Fuzzy Automata
... Z fuzzy set as a method for representing un- adeh in 1965 [19] introduced the notion of ...certainty. Fuzzy set theory has become more and more mature in many fields such as fuzzy relation, ...
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Application of Fuzzy Matrices in Medical Diagnosis
... of decision making. Decision making is a most important scientific, social and economic ...For decision making in fuzzy environment one may refer Bellman and Zadeh ...the fuzzy ...
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Optimization of Decision Rules in Fuzzy Classification
... generate fuzzy decision rules as both neural networks and fuzzy systems are functionally equivalent despite of different ...a fuzzy logic system and any continuous, discrete fuzzy logic ...
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Implementation of Fuzzy Logic Controller (FLC) for DC-DC Boost Converter Using Matlab/Simulink
... called fuzzy sets (data base) and fuzzy control rule ...with fuzzy sets are used to characterize fuzzy control rules and fuzzy data manipulation in an ...While fuzzy ...
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A Hybrid Fuzzy Multi-criteria Decision Making Model Based on Fuzzy DEMATEL with Fuzzy Analytical Network Process and Interpretative Structural Model for Prioritizing LARG Supply Chain Practices
... functional decision making model, hybrid fuzzy multi-criteria decision making (FMCDM), that can improve the performance of LARG paradigm in dairy industries ...combined fuzzy decision ...
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Fuzzy Matrix with Application in Decision Making
... The fuzzy decision model in which overall ranking (or) ordering of different fuzzy sets are determined by using comparison ...are fuzzy or vague, we may have a situation where there is a ...
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Application of Fuzzy Comprehensive Evaluation in Environmental Quality Assessment
... of fuzzy sets. After that, fuzzy mathematics was developed as a new branch of mathematics ...[2,3,4]. Fuzzy clustering analysis, fuzzy pattern recognition, fuzzy comprehensive ...
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A Refinement on the Earlier Technique for Nonlinear Programming Problem in Fuzzy Environment
... The fuzzy max (min) corresponds to achieving the highest (lowest) possible aspiration level for the general f( ...of fuzzy decision making problems ...
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A Small Scale Exploratory Study on Diabetes Management by Integration of Personalized Healthcare Pathways in an ICT Platform
... semantic decision support agent (SDSA), including a knowledge construction mechanism, fuzzy ontology generating mechanism, and semantic fuzzy decision making mechanism, is also ...the ...
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Fuzzy Approaches for Multiobjective Fuzzy Random Linear Programming Problems Through a Probability Maximization Model
... of fuzzy approaches are proposed to obtain a satisfactory solution of the decision maker, where the first one is for multiobjective stochastic linear program- ming problems, and the second one is for ...
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Reliability of Component based Software System using Fuzzy AHP and Fuzzy TOPSIS
... of fuzzy multi-criteria decision making approaches i.e. fuzzy AHP and fuzzy ...using fuzzy AHP and fuzzy TOPSIS and from result discussion Windows 8 is found as the most reliable ...
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Diagnosis, Modeling and Prognosis of Learning System using Fuzzy Logic and Intelligent Decision Vectors
... An Expert System is computer-based systems that uses knowledge and facts, working memory and apply an appropriate reasoning technique (inference) to solve problems in a given field (domain) that normally require the ...
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A Comparative Analysis on Euclidean Measure In Intuitionistic Fuzzy Set And Interval-Valued Intuitionistic Fuzzy Set
... In fuzzy set theory, the degree of belonging of element to the set is represented by a membership value in the real interval [0, 1] and there exists degree of non- membership which is complementary in ...
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PERFORMANCE MEASUREMENT IN A PUBLIC SECTOR PASSENGER BUS TRANSPORT COMPANY USING FUZZY TOPSIS, FUZZY AHP AND ANOVA – A CASE STUDY
... This study which was conducted in a public sector passenger bus transport company and reported here gives an tem for an organization which is in the business of providing public transportation to a large population. The ...
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