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Fuzzy Stochastic Multiobjective Programming (International Series in Operations Research & Management Science)
Fuzzy Stochastic Multiobjective Programming (International Series in Operations Research & Management Science)

Although studies on multiobjective mathematical programming under uncertainty have been accumulated and several books on multiobjective mathematical programming under uncertainty have been published (e.g., Stancu-Minasian (1984); Slowinski and Teghem (1990); Sakawa (1993); Lai and Hwang (1994); Sakawa (2000)), there seems to be no book which...

Data Engineering: Fuzzy Mathematics in Systems Theory and Data Analysis
Data Engineering: Fuzzy Mathematics in Systems Theory and Data Analysis

Although data engineering is a multi-disciplinary field with applications in control, decision theory, and the emerging hot area of bioinformatics, there are no books on the market that make the subject accessible to non-experts. This book fills the gap in the field, offering a clear, user-friendly introduction to the main theoretical and...

Soft Computing for Recognition based on Biometrics (Studies in Computational Intelligence)
Soft Computing for Recognition based on Biometrics (Studies in Computational Intelligence)
We describe in this book, bio-inspired models and applications of hybrid intelligent systems using soft computing techniques for image analysis and pattern recognition based on biometrics and other information sources. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks,...
Data Mining in Finance: Advances in Relational and Hybrid Methods
Data Mining in Finance: Advances in Relational and Hybrid Methods

Data Mining in Finance presents a comprehensive overview of major algorithmic approaches to predictive data mining, including statistical, neural networks, ruled-based, decision-tree, and fuzzy-logic methods, and then examines the suitability of these approaches to financial data mining. The book focuses specifically on relational data mining...

Mathematics of Fuzzy Sets and Fuzzy Logic (Studies in Fuzziness and Soft Computing)
Mathematics of Fuzzy Sets and Fuzzy Logic (Studies in Fuzziness and Soft Computing)

This book presents a mathematically-based introduction into the fascinating topic of Fuzzy Sets and Fuzzy Logic and might be used as textbook at both undergraduate and graduate levels and also as reference guide for mathematician, scientists or engineers who would like to get an insight into Fuzzy Logic.

Fuzzy Sets have been...

Supervised and Unsupervised Pattern Recognition: Feature Extraction and Computational Intelligence
Supervised and Unsupervised Pattern Recognition: Feature Extraction and Computational Intelligence

There are many books on neural networks, some of which cover computational intelligence, but none that incorporate both feature extraction and computational intelligence, as Supervised and Unsupervised Pattern Recognition does. This volume describes the application of a novel, unsupervised pattern recognition scheme to the classification of...

Nonlinear integrals and their applications in data mining (Advances in Fuzzy Systemss - Applications and Theory)
Nonlinear integrals and their applications in data mining (Advances in Fuzzy Systemss - Applications and Theory)

Regarding the set of all feature attributes in a given database as the universal set, this monograph discusses various nonadditive set functions that describe the interaction among the contributions from feature attributes towards a considered target attribute. Then, the relevant nonlinear integrals are investigated. These integrals can be...

C++ for Mathematicians: An Introduction for Students and Professionals
C++ for Mathematicians: An Introduction for Students and Professionals

The first book available on C++ programming that is written specifically for a mathematical audience, C++ for Mathematicians omits the language's more obscure features in favor of the aspects of greatest utility for mathematical work. Emphasizing the essential role of practice as part of the learning process, the book is ideally designed...

Unity AI Game Programming - Second Edition
Unity AI Game Programming - Second Edition

Leverage the power of Unity 5 to create fun and unbelievable AI entities in your games!

About This Book

  • Compose richer games by learning the essential concepts in artificial intelligence with exciting examples
  • Explore the brand new Unity 5 features that make implementing artificial...
Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering (Water Science and Technology Library)
Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering (Water Science and Technology Library)

“Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering” provides a systematic account of major concepts and methodologies for data-driven models and presents a unified framework that makes the subject more accessible to and applicable for researchers and practitioners. It integrates important...

Advanced Topics in Fuzzy Graph Theory (Studies in Fuzziness and Soft Computing (375))
Advanced Topics in Fuzzy Graph Theory (Studies in Fuzziness and Soft Computing (375))

This book builds on two recently published books by the same authors on fuzzy graph theory. Continuing in their tradition, it provides readers with an extensive set of tools for applying fuzzy mathematics and graph theory to social problems such as human trafficking and illegal immigration. Further, it especially focuses on advanced...

Cluster Analysis for Data Mining and System Identification
Cluster Analysis for Data Mining and System Identification

Data clustering is a common technique for statistical data analysis, which is used in many fields, including machine learning, data mining, pattern recognition, image analysis and bioinformatics. Clustering is the classification of similar objects into different groups, or more precisely, the partitioning of a data set into subsets...

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