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Interval-Valued Methods in Classifications and Decisions

This book describes novel algorithms based on interval-valued fuzzy methods that are expected to improve classification and decision-making;

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Decision Making Theories and Methods Based on Interval Valued Intuitionistic Fuz

This is the first book to provide a comprehensive and systematic introduction to the ranking methods for interval-valued intuitionistic;

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Decision Making Theories and Methods Based on Inte

This is the first book to provide a comprehensive and systematic introduction to the ranking methods for interval-valued;

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Duration Calculus

A comprehensive introduction to interval logic and duration calculus for modelling, analysing and verifying real-time systems. The Duration;

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Fuzzy Lie Algebras

various concepts to Lie algebras and Lie superalgebras, including type-1 fuzzy sets, interval-valued fuzzy sets, intuitionistic fuzzy sets;

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Interval-Valued Intuitionistic Fuzzy Sets

The book offers a comprehensive survey of interval-valued intuitionistic fuzzy sets. It reports on cutting-edge research carried out by the;

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Interval-Valued Intuitionistic Fuzzy Sets

The book offers a comprehensive survey of interval-valued intuitionistic fuzzy sets. It reports on cutting-edge research carried out by the;

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Single Valued Neutrosophic Graphs

This book addresses single-valued neutrosophic graphs and their applications. In addition, it introduces readers to a number of central;

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Intuitionistic Preference Modeling and Interactive Decision Making

in interval-valued intuitionistic fuzzy environments.;

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Nonlinear Interval Optimization for Uncertain Problems

This book systematically discusses nonlinear interval optimization design theory and methods. Firstly, adopting a mathematical programming;

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Interval-Censored Time-to-Event Data

Interval-Censored Time-to-Event Data: Methods and Applications collects the most recent techniques, models, and computational tools for;

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Global Optimization Using Interval Analysis

construction and increases generality of interval arithmetic. This Second Edition contains an up-to-date discussion of interval methods for solving;

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Fine-Kinney-Based Fuzzy Multi-criteria Occupational Risk Assessment

. It then progresses in a logical fashion, dedicating a chapter to each approach, including the fuzzy best and worst method, interval-valued;

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Fine Kinney Based Fuzzy Multi criteria Occupational Risk Assessment

. It then progresses in a logical fashion, dedicating a chapter to each approach, including the fuzzy best and worst method, interval-valued;

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Interval Methods for Solving Nonlinear Constraint Satisfaction, Optimization and Similar Problems

This book highlights recent research on interval methods for solving nonlinear constraint satisfaction, optimization and similar problems;

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Clinical Classification in Orthopaedics Trauma

This book covers common fracture and dislocation classifications for nearly every part of the human body. For each part, it introduces;

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Clustering Methodology for Symbolic Data

ready for analysis. * Features very large contemporary datasets such as time series, interval-valued data and histogram-valued data * Considers;

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Interval Reachability Analysis

of: interval analysis; monotonicity theory; contraction theory; and data-driven techniques that sample trajectories. The methods are;

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Measurements and Classifications in Musculoskeletal Radiology

A quick, reliable reference on musculoskeletal radiology... For all radiology residents and practitioners faced with mastering the;

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Classical and Modern Numerical Analysis

problems. Focusing on interval computing in numerical analysis, it explains interval arithmetic, interval computation, and interval algorithms. The;

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Survival Analysis with Interval-Censored Data

Survival Analysis with Interval-Censored Data: A Practical Approach with Examples in R, SAS, and BUGS provides the reader with a practical;

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Survival Analysis with Interval-Censored Data

Survival Analysis with Interval-Censored Data: A Practical Approach with Examples in R, SAS, and BUGS provides the reader with a practical;

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Decision and Inhibitory Trees and Rules for Decision Tables with Many-valued Decisions

of data mining, knowledge discovery, and machine learning, especially those whose work involves decision tables with many-valued decisions. The;

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Decision and Inhibitory Trees and Rules for Decision Tables with Many-valued Decisions

of data mining, knowledge discovery, and machine learning, especially those whose work involves decision tables with many-valued decisions. The;

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Set-Valued Stochastic Integrals and Applications

, set-valued stochastic Lebesgue, and stochastic Aumann integrals, the volume is divided into nine parts. It begins with preliminaries;

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Set-Valued Stochastic Integrals and Applications

, set-valued stochastic Lebesgue, and stochastic Aumann integrals, the volume is divided into nine parts. It begins with preliminaries;

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Multi-State Survival Models for Interval-Censored Data

of stochastic processes. Multi-State Survival Models for Interval-Censored Data shows that the statistical modelling is versatile and allows for a wide;

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