Nonlinear Mathematics for Uncertainty and its Applications: 100 (Advances in Intelligent and Soft Computing, 100) - Image 1

Price loading...

Springer Nonlinear Mathematics for Uncertainty and its Applications: 100 (Advances in Intelligent and Soft Computing, 100)

Name: Nonlinear Mathematics for Uncertainty and its Applications: 100 (Advances in Intelligent and Soft Computing, 100)
Brand: Springer

AI & Machine Learning

Price History & Forecast

No Price Data Available

Price history will appear here once data is collected from Amazon.

Price Distribution

No price data available for histogram

Description

Product Description This volume is a collection of papers presented at the international conference on Nonlinear Mathematics for Uncertainty and Its Applications (NLMUA2011), held at Beijing University of Technology during the week of September 7--9, 2011. The conference brought together leading researchers and practitioners involved with all aspects of nonlinear mathematics for uncertainty and its applications. Over the last fifty years there have been many attempts in extending the theory of classical probability and statistical models to the generalized one which can cope with problems of inference and decision making when the model-related information is scarce, vague, ambiguous, or incomplete. Such attempts include the study of nonadditive measures and their integrals, imprecise probabilities and random sets, and their applications in information sciences, economics, finance, insurance, engineering, and social sciences. The book presents topics including nonadditive measures and nonlinear integrals, Choquet, Sugeno and other types of integrals, possibility theory, Dempster-Shafer theory, random sets, fuzzy random sets and related statistics, set-valued and fuzzy stochastic processes, imprecise probability theory and related statistical models, fuzzy mathematics, nonlinear functional analysis, information theory, mathematical finance and risk managements, decision making under various types of uncertainty, and others. From the Back Cover This volume is a collection of papers presented at the international conference on Nonlinear Mathematics for Uncertainty and Its Applications (NLMUA2011), held at Beijing University of Technology during the week of September 7--9, 2011. The conference brought together leading researchers and practitioners involved with all aspects of nonlinear mathematics for uncertainty and its applications. Over the last fifty years there have been many attempts in extending the theory of classical probability and statistical models to the generalized one which can cope with problems of inference and decision making when the model-related information is scarce, vague, ambiguous, or incomplete. Such attempts include the study of nonadditive measures and their integrals, imprecise probabilities and random sets, and their applications in information sciences, economics, finance, insurance, engineering, and social sciences. The book presents topics including nonadditive measures and nonlinear integrals, Choquet, Sugeno and other types of integrals, possibility theory, Dempster-Shafer theory, random sets, fuzzy random sets and related statistics, set-valued and fuzzy stochastic processes, imprecise probability theory and related statistical models, fuzzy mathematics, nonlinear functional analysis, information theory, mathematical finance and risk managements, decision making under various types of uncertainty, and others.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 3662520389
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 23 August 2016
Listed Since: 23 June 2016

Barcode

No barcode data available

Springer Nonlinear Mathematics for Uncertainty and its Applications: 100 (Advances in Intelligent and Soft Computing, 100)

Price History & Forecast

No Price Data Available

Price Distribution

Description

Product Specifications

Barcode

Similar Products You Might Like

Nonlinear Mathematics for Uncertainty and its Applications: 100 (Advances in Intelligent and Soft Computing, 100)

Non-Additive Measures: Theory and Applications: 310 (Studies in Fuzziness and Soft Computing, 310)

Non-Additive Measures: Theory and Applications: 310 (Studies in Fuzziness and Soft Computing, 310)

Mathematics of Uncertainty: Ideas, Methods, Application Problems: 189 (Studies in Fuzziness and Soft Computing, 189)

Generalized Intuitionistic Multiplicative Fuzzy Calculus Theory and Applications (Uncertainty and Operations Research)

Generalized Intuitionistic Multiplicative Fuzzy Calculus Theory and Applications (Uncertainty and Operations Research)

Uncertainty Modelling in Data Science: 832 (Advances in Intelligent Systems and Computing, 832)

Uncertainty in Information Systems: An Introduction to Techniques and Applications (Advanced Topics in Computer Science)

Techniques of Decision Making, Uncertain Reasoning and Regression Analysis Under the Hesitant Fuzzy Environment and Their Applications (Uncertainty and Operations Research)

Uncertainty Theory: A Branch of Mathematics for Modeling Human Uncertainty: 300 (Studies in Computational Intelligence, 300)

Springer Mathematics of Uncertainty: Grand Challenges Book

Springer Fuzzy Sets Theory and Applications - NATO Science Series

The Geometry of Uncertainty: The Geometry of Imprecise Probabilities (Artificial Intelligence: Foundations, Theory, and Algorithms)

Uncertain Renewal Processes (Springer Uncertainty Research)

Flexible and Generalized Uncertainty Optimization: Theory and Approaches: 696 (Studies in Computational Intelligence, 696)

Soft Methods for Handling Variability and Imprecision: 48 (Advances in Intelligent and Soft Computing, 48)

Fuzzy Information & Engineering and Operations Research & Management: 211 (Advances in Intelligent Systems and Computing, 211)

Propagation of Interval and Probabilistic Uncertainty in Cyberinfrastructure-related Data Processing and Data Fusion: 15 (Studies in Systems, Decision and Control, 15)

Combining Soft Computing and Statistical Methods in Data Analysis: 77 (Advances in Intelligent and Soft Computing, 77)

Advances in the Theory of Probabilistic and Fuzzy Data Scientific Methods with Applications: 814 (Studies in Computational Intelligence, 814)

Recent Advances in Applications of Computational and Fuzzy Mathematics

Uncertainty Analysis in Engineering and Sciences: Fuzzy Logic, Statistics, and Neural Network Approach: 11 (International Series in Intelligent Technologies, 11)

Recent Developments and New Direction in Soft-Computing Foundations and Applications: Selected Papers from the 4th World Conference on Soft Computing, ... in Fuzziness and Soft Computing, 342)

Combining Interval, Probabilistic, and Other Types of Uncertainty in Engineering Applications: 773 (Studies in Computational Intelligence, 773)