Data Fusion: Methods, Applications and Research

Veres Albert (Editor)
Erôss Aba (Editor)

Series: Research Methodology and Data Analysis
BISAC: COM018000

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In the first chapter, Sergey A. Sakulin, PhD and Alexander N. Alfimtsev, PhD discuss fuzzy integral, a powerful metaoperator, and its applications. In the second chapter, Bruno G. Botelho and Adriana S. Franca discuss the concept of data fusion and how it might be applied in different areas of food analysis to improve the information range regarding samples. In the third and final chapter, Carlo Quaranta and Giorgio Balzarotti compare a new data fusion equation with an approach that has been familiarized in previous literature. (Imprint: Nova)

Preface

Chapter 1. Data Fusion Based on the Fuzzy Integral: Model, Methods and Applications
Sergey A. Sakulin, PhD and Alexander N. Alfimtsev, PhD (Department of Information Systems and Telecommunications, Bauman Moscow State Technical University, Moscow, Russia, and others)

Chapter 2. Data Fusion Applied to Food Analysis
Bruno G. Botelho and Adriana S. Franca (DQ, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brasil, and others)

Chapter 3. Mathematical Aspects of Data Fusion in Multiple Search and Tracking Systems
Carlo Quaranta and Giorgio Balzarotti, Leonardo (Radar and Advanced Targeting LoB, IRST BA, Nerviano (MI), Italy)

Index

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