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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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Fuzzy Sets-Based Methods and Techniques for Modern Analytics

-based optimization models and techniques that have been used to date. Special emphasis is given to fuzzy transportation problems. The book is a;

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Optimization and Inventory Management

This book discusses inventory models for determining optimal ordering policies using various optimization techniques, genetic algorithms;

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Model Based Fuzzy Control

objective of model based fuzzy control is to use the full range of linear and nonlinear design and analysis methods to design such fuzzy controllers;

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Voltage Control Based on Fuzzy Adaptive Particle Swarm Optimization

of multi- objective function based on fuzzy set theory and adaptive particle swarm optimization. This methodology is applied to get a solution to;

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Information Processing and Management of Uncertainty in Knowledge-Based Systems

; interval uncertainty; discrete models and computational intelligence; current techniques to model, process and describe time series; mathematical;

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Information Processing and Management of Uncertainty in Knowledge-Based Systems

; interval uncertainty; discrete models and computational intelligence; current techniques to model, process and describe time series; mathematical;

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Information Processing and Management of Uncertainty in Knowledge-Based Systems

; interval uncertainty; discrete models and computational intelligence; current techniques to model, process and describe time series; mathematical;

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Statistical and Fuzzy Approaches to Data Processing, with Applications to Econometrics and Other Areas

using fuzzy techniques. Therefore, it is important to master both techniques for processing data. This book is highly recommended for;

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Statistical and Fuzzy Approaches to Data Processing, with Applications to Econometrics and Other Areas

using fuzzy techniques. Therefore, it is important to master both techniques for processing data. This book is highly recommended for;

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Statistical Methods for Fuzzy Data

of measurements can be best described by using fuzzy numbers and fuzzy vectors respectively. Statistical analysis methods have to be adapted for the;

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Soft Computing with NeuroFuzzy Systems

recurrent neuro-fuzzy systems for fault prognosis; and neuro-fuzzy model for QoS based selection of web service. Section 2 focuses on adaptive;

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Optimization of Type 2 Fuzzy Controllers Using the Bee Colony Algorithm

This book focuses on the fields of fuzzy logic, bio-inspired algorithm; especially bee colony optimization algorithm and also considering;

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Statistical Optimization of Biological Systems

-needed attention to the experimental optimization of biological systems using statistical techniques. Employing real-life bioprocess optimization;

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Mapping Environmental Sustainability

development of visual mapping techniques is explained and practical case studies describe their application in environmental sustainability projects;

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Computational Intelligence in Expensive Optimization Problems

, data mining and statistical analysis, analysis of real-world cases (such as multidisciplinary design optimization). The edited book;

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Optimization of Manufacturing Processes

optimization in manufacturing. Readers will develop an understanding of the implementation of statistical and evolutionary techniques for modeling and;

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Design of GA-Fuzzy Controller for Magnetic Levitation Using FPGA

. Genetic Algorithm (GA) is used in this book as optimization method that optimizes the membership, output gain and inputs gain of the fuzzy;

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Intelligent Manufacturing

methods, multi-objective and multi-criteria decision-making methods and evolution of single and multi-target optimization techniques using soft;

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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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Monitoring And Control Of Information-Poor Systems

approach based on the use of fuzzy relational models * Considers practical issues associated with applying the techniques to real systems;

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Analysis and Synthesis of Fuzzy Control Systems

lack of tools for systematic stability analysis and controller design. To address this problem, many model-based fuzzy control approaches have;

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Analysis and Synthesis of Fuzzy Control Systems

lack of tools for systematic stability analysis and controller design. To address this problem, many model-based fuzzy control approaches have;

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Future Sustainable Ecosystems

-solving using statistics. It shows how statistics can be used to solve diverse environmental and socio-economic problems involving food, water;

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Future Sustainable Ecosystems

-solving using statistics. It shows how statistics can be used to solve diverse environmental and socio-economic problems involving food, water;

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Image Retrieval and Analysis Using Text and Fuzzy Shape Features

importance. Image Retrieval and Analysis Using Text and Fuzzy Shape Features: Emerging Research and Opportunities is a critical scholarly resource;

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Fuzzy Probabilities and Fuzzy Sets for Web Planning

service rates to model the fuzzy queuing system in part three in Chapters 11 and 12. Optimization models comprise part four in Chapters 13-17. The;

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