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Conventional and Fuzzy Regression

Conventional and Fuzzy Regression: Theory and Applications aims to present both conventional and fuzzy regression analyses from theoretical;

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Techniques of Decision Making, Uncertain Reasoning and Regression Analysis Under the Hesitant Fuzzy Environment and Their Applications

This book mainly introduces some techniques of decision-making, uncertain reasoning and regression analysis under the hesitant fuzzy;

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Interpretability of Computational Intelligence Based Regression Models

base system. Finally, based on the analogy of support vector regression and fuzzy models, a three-step model reduction algorithm is proposed to;

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Analysis and Synthesis of Fuzzy Control Systems

students exploring fuzzy logic control. It readily demonstrates that conventional control technology and fuzzy logic control can be elegantly;

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Analysis and Synthesis of Fuzzy Control Systems

students exploring fuzzy logic control. It readily demonstrates that conventional control technology and fuzzy logic control can be elegantly;

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Modeling in Mathematics

and its application to energy-growth consumption problem. This book also discusses about intuitionistic fuzzy weighted linear regression model;

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Fuzzy Probability and Statistics

hypothesis testing related to means, variances, proportions, correlation and regression. New material includes fuzzy estimators for arrival and;

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Water Quality Index Prediction Using Multiple Linear Fuzzy Regression Model

This book addresses the prediction of the Water Quality Index (WQI) at Perak River, State of Perak, Malaysia, using a fuzzy multiple linear;

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Regression Modeling: Methods, Theory, and Computation with SAS

Regression Modeling: Methods, Theory, and Computation with SAS provides an introduction to a diverse assortment of regression techniques;

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Regression Modeling: Methods, Theory, and Computation with SAS

Regression Modeling: Methods, Theory, and Computation with SAS provides an introduction to a diverse assortment of regression techniques;

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Soft Computing

computing algorithms and fuzzy information processing models by developing a library of universal analytic models for fuzzy arithmetic operations;

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Fuzzy Knowledge Management for the Semantic Web

This book goes to great depth concerning the fast growing topic of technologies and approaches of fuzzy logic in the Semantic Web. The;

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Fuzzy Knowledge Management for the Semantic Web

This book goes to great depth concerning the fast growing topic of technologies and approaches of fuzzy logic in the Semantic Web. The;

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Model Based Fuzzy Control

Model Based Fuzzy Control uses a given conventional or fuzzy open loop model of the plant under control to derive the set of fuzzy rules;

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Modeling Fuzzy Spatiotemporal Data with XML

This book offers in-depth insights into the rapidly growing topic of technologies and approaches to modeling fuzzy spatiotemporal data with;

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Modeling Fuzzy Spatiotemporal Data with XML

This book offers in-depth insights into the rapidly growing topic of technologies and approaches to modeling fuzzy spatiotemporal data with;

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Fuzzy Control Systems

solutions. Control systems based on the fuzzy logic theory can become more functional and flexible in comparison with conventional control systems;

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Advanced Concepts in Fuzzy Logic and Systems with Membership Uncertainty

uncertainty can be modeled by combining methods of conventional and type-2 fuzzy logic, rough set theory and possibility theory. In particular, this;

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Fuzzy Set Theory

techniques and model-testing. Key Features: Addresses Basic Concepts: Fuzzy set theory is an analytic framework for handling concepts;

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Information Processing and Management of Uncertainty

uncertainty and imprecision on the web of data; decision support and uncertainty management in agri-environment; fuzzy implications; clustering; fuzzy;

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Introduction to Linear Regression Analysis, 6th Edition

application in both the conventional and less common uses of regression analysis in today's cutting-edge scientific research. The text equips readers;

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Optimization Based Model Using Fuzzy and Other Statistical Techniques Towards Environmental Sustainability

concerning environmental sustainability. The examples include using fuzzy weighted multivariate regression to predict the water quality index at;

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Image Processing And Jump Regression Analysis

. Key topics include conventional smoothing procedures, estimation of jump regression curves, edge detection in image processing, and edge;

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New Medical Diagnosis Models Based on Generalized Type-2 Fuzzy Logic

compared with respect to conventional approaches and literature references based on Fuzzy Logic.;

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Computational Intelligence Paradigms

, before providing MATLAB illustrations of ANFIS, classification and regression trees, fuzzy c-means clustering algorithms, fuzzy ART map, and;

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Computational Intelligence Paradigms

, before providing MATLAB illustrations of ANFIS, classification and regression trees, fuzzy c-means clustering algorithms, fuzzy ART map, and;

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Handbook of Quantile Regression

functions. Median regression, as introduced in the 18th century by Boscovich and Laplace, is a special case. In contrast to conventional mean;

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