Fuzzy sets and applications
Proximity relations in the fuzzy relational database model
Fuzzy Sets and Systems
Information retrieval: data structures and algorithms
Information retrieval: data structures and algorithms
Essentials of fuzzy modeling and control
Essentials of fuzzy modeling and control
Advances in the Dempster-Shafer theory of evidence
Advances in the Dempster-Shafer theory of evidence
Towards general measures of comparison of objects
Fuzzy Sets and Systems - Special issue dedicated to the memory of Professor Arnold Kaufmann
Noncommutative self-identity aggregation
Fuzzy Sets and Systems
Fuzzy Sets and Systems - Special issue: fuzzy sets: where do we stand? Where do we go?
Toward a logic of perceptions based on fuzzy logic
Discovering the world with fuzzy logic
Modern Information Retrieval
Data Mining Techniques: For Marketing, Sales, and Customer Support
Data Mining Techniques: For Marketing, Sales, and Customer Support
Multisensor Data Fusion
Data mining, rough sets and granular computing
Data mining, rough sets and granular computing
Uncertainty representation using fuzzy measures
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Fuzzy logic = computing with words
IEEE Transactions on Fuzzy Systems
Cooperative decision making in a knowledge grid environment
Future Generation Computer Systems
A vector similarity measure for linguistic approximation: Interval type-2 and type-1 fuzzy sets
Information Sciences: an International Journal
International Journal of Geographical Information Science
On a reflexivity-preserving family of cardinality-based fuzzy comparison measures
Information Sciences: an International Journal
Fuzzy Sets and Systems
Credibility assignment in knowledge grid environment
GPC'07 Proceedings of the 2nd international conference on Advances in grid and pervasive computing
Information Sciences: an International Journal
Random weighting estimation for fusion of multi-dimensional position data
Information Sciences: an International Journal
Towards an alarm for opposition conflict in a conjunctive combination of belief functions
ECSQARU'11 Proceedings of the 11th European conference on Symbolic and quantitative approaches to reasoning with uncertainty
A modified parallel optimization system for updating large-size time-evolving flow matrix
Information Sciences: an International Journal
Handling heterogeneous bipolar information for modelling environmental syndromes of global change
Environmental Modelling & Software
A variational Bayesian approach to robust sensor fusion based on Student-t distribution
Information Sciences: an International Journal
Information Sciences: an International Journal
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A general view of the multi-source data fusion process is presented. Some of the considerations and information that must go into the development of a multisource data fusion algorithm are described. Features that play a role in expressing user requirements are also described. We provide a general framework for data fusion based on a voting like process that tries to adjudicate conflict among the data. We discuss idea of a compatibility relationship and introduce several important examples of these relationships. We show that our formulation results in some conditions on the fused value implying that the fusion process has the nature of a mean type aggregation. Situations in which the sources have different credibility weights are considered. We present a concept of reasonableness as a means for including in the fusion process any information available other then that provided by the sources. We consider the situation where we allow our fused values to be granular objects such as linguistic terms or subsets.