On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
Essentials of fuzzy modeling and control
Essentials of fuzzy modeling and control
Fuzzy Sets and Systems
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Application of possibility theory to investment decisions
Fuzzy Optimization and Decision Making
Improved time-variant fuzzy time series forecast
Fuzzy Optimization and Decision Making
Fuzzy Systems Engineering: Toward Human-Centric Computing
Fuzzy Systems Engineering: Toward Human-Centric Computing
Aggregation Functions: A Guide for Practitioners
Aggregation Functions: A Guide for Practitioners
Generalized theory of uncertainty (GTU)-principal concepts and ideas
Computational Statistics & Data Analysis
Computing with words in decision making: foundations, trends and prospects
Fuzzy Optimization and Decision Making
Similarity relations and fuzzy orderings
Information Sciences: an International Journal
Criteria satisfaction under measure based uncertainty
Fuzzy Optimization and Decision Making
Fuzzy logic = computing with words
IEEE Transactions on Fuzzy Systems
Measure based representation of uncertain information
Fuzzy Optimization and Decision Making
A granular neural network: Performance analysis and application to re-granulation
International Journal of Approximate Reasoning
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We are interested in the problem of multi-source information fusion in the case when the information provided has some uncertainty. We note that sensor provided information generally has a probabilistic type of uncertainty whereas linguistic information typically introduces a possibilistic type of uncertainty. More generally, we are faced with a problem in which we must fuse information with different types of uncertainty. In order to provide a unified framework for the representation of these different types of uncertain information we use a set measure approach for the representation of uncertain information. We discuss a set measure representation of uncertain information. In the multi-source fusion problem, in addition to having a collection of pieces of information that must be fused, we need to have some expert provided instructions on how to fuse these pieces of information. Generally these instructions can involve a combination of linguistically and mathematically expressed directions. In the course of this work we begin to consider the fundamental task of how to translate these instructions into formal operations that can be applied to our information. This requires us to investigate the important problem of the aggregation of set measures.