Fuzzy multiple attribute decision making: a review and new preference elicitation techniques
Fuzzy Sets and Systems - Special issue on fuzzy multiple criteria decision making
A fusion approach for managing multi-granularity linguistic term sets in decision making
Fuzzy Sets and Systems
Mathematics of Data Fusion
Fuzzy Multiple Attribute Decision Making: Methods and Applications
Fuzzy Multiple Attribute Decision Making: Methods and Applications
Aggregation operators: new trends and applications
Aggregation operators: new trends and applications
Multisensor Fusion
Aggregation with generalized mixture operators using weighting functions
Fuzzy Sets and Systems - Special issue: Preference modelling and applications
Hierarchical multi-sensor image registration using evolutionary computation
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Modeling Decisions: Information Fusion and Aggregation Operators (Cognitive Technologies)
Modeling Decisions: Information Fusion and Aggregation Operators (Cognitive Technologies)
Sensor and Data Fusion: A Tool for Information Assessment and Decision Making (SPIE Press Monograph Vol. PM138)
A knowledge-based approach to merging information
Knowledge-Based Systems
Guest editorial: Image fusion: Advances in the state of the art
Information Fusion
ACM Computing Surveys (CSUR)
Computational Intelligence: An Introduction
Computational Intelligence: An Introduction
Aggregation Functions: A Guide for Practitioners
Aggregation Functions: A Guide for Practitioners
A multisensor decision fusion system for terrain safety assessment
IEEE Transactions on Robotics
Search methodologies for efficient planetary site selection
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
A knowledge driven approach to aerospace condition monitoring
Knowledge-Based Systems
Appropriate choice of aggregation operators in fuzzy decision support systems
IEEE Transactions on Fuzzy Systems
Multisensor data fusion: A review of the state-of-the-art
Information Fusion
Information aggregation in intelligent systems: An application oriented approach
Knowledge-Based Systems
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The main goal of information fusion is to combine heterogeneous information to obtain a single composite of potential comparable alternative solutions that can be classified and ranked. The crux of information fusion, which is a type of data fusion, is threefold: (i) data must be comparable and numerical, using some normalization process; (ii) imprecision in data must be taken into consideration; (iii) an appropriate aggregation function to combine values into a single score must be selected. Recently, computational intelligence concepts and techniques to perform data/information fusion are emerging as suitable tools. Although with a different perspective, another field where much work has also been done for combining heterogeneous information is multi-criteria decision-making. In general, multi-criteria problems are modelled by choosing a set of relevant criteria - usually dealing with heterogeneous data - that have to be aggregated (i.e. fused) to obtain a single rating for each candidate alternative. In this paper we propose an algorithm for data/information fusion, which includes concepts from multi-criteria decision-making and computational intelligence, specifically, fuzzy multi-criteria decision-making and mixture aggregation operators with weighting functions. The application field of interest for this work is safe spacecraft landing with hazard avoidance; hence two existing hazard maps will be used to illustrate the versatility of the algorithm.