Qualitative reasoning about physical systems
Qualitative reasoning about physical systems
Tracking and data association
Fuzzy sets in approximate reasoning, part 1: inference with possibility distributions
Fuzzy Sets and Systems - Special memorial volume on foundations of fuzzy reasoning
Data fusion in robotics and machine intelligence
Data fusion in robotics and machine intelligence
Practical neural network recipes in C++
Practical neural network recipes in C++
Principles and techniques for sensor data fusion
Signal Processing - Intelligent systems for signal and image understanding
Unifying default reasoning and belief revision in a modal framework
Artificial Intelligence
Conditional logics of normality: a modal approach
Artificial Intelligence
Independence concepts in possibility theory: part I
Fuzzy Sets and Systems
Hybrid fuzzy least-squares regression analysis and its relibabilty measures
Fuzzy Sets and Systems
Decision Fusion
Mathematical Techniques in Multisensor Data Fusion
Mathematical Techniques in Multisensor Data Fusion
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Fuzzy Sets and Systems: Theory and Applications
Fuzzy Sets and Systems: Theory and Applications
Fundamentals of Uncertainty Calculi with Applications to Fuzzy Inference
Fundamentals of Uncertainty Calculi with Applications to Fuzzy Inference
Multisensor Data Fusion
Uncertainty Models for Knowledge-Based Systems; A Unified Approach to the Measurement of Uncertainty
Uncertainty Models for Knowledge-Based Systems; A Unified Approach to the Measurement of Uncertainty
Hybrid fuzzy probabilistic data association filter and joint probabilistic data association filter
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Intelligent information systems and applications
| Hi-index | 0.00 |
Data/information fusion, as a methodology to integrate information stemming from different sources to get a more refined and meaningful knowledge, has gained a lot of interest within several communities as it sounds from the number of publications and successful applications in this area. This chapter is aimed to explore how the fusion methodology is decomposed into a set of primary subtasks where the elicitation and the architecture play a central role in the fusion process. Particularly the contributions of soft computing techniques at various levels of the fusion architecture are laid bare. Some exemplifications, through the use of serial and parallel architectures, employing both probabilistic and possibilistic approaches, have been carried out. Finally a robotics application consisting in a localization of a mobile robot has been performed and shows how the different steps of the fusion architecture have been handled.