Application of possibility and necessity measures to documentary information retrieval
Processing and Management of Uncertainty in Knowledge-Based Systems on Uncertainty in knowledge-based systems. International Conference on Information
On ordered weighted averaging aggregation operators in multicriteria decisionmaking
IEEE Transactions on Systems, Man and Cybernetics
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Fuzzy Sets and Systems
Beyond min aggregation in multicriteria decision: (ordered) weighted min, discri-min, leximin
The ordered weighted averaging operators
IR evaluation methods for retrieving highly relevant documents
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Extended Boolean information retrieval
Communications of the ACM
Information Retrieval: Algorithms and Heuristics
Information Retrieval: Algorithms and Heuristics
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Experiments on using fuzzy quantified sentences in adhoc retrieval
Proceedings of the 2004 ACM symposium on Applied computing
An outranking approach for information retrieval
Information Retrieval
Possibilistic networks for information retrieval
International Journal of Approximate Reasoning
SAFIRE: towards standardized semantic rich image annotation
AMR'06 Proceedings of the 4th international conference on Adaptive multimedia retrieval: user, context, and feedback
A multiple criteria approach for information retrieval
SPIRE'06 Proceedings of the 13th international conference on String Processing and Information Retrieval
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Classical information retrieval methods often lose valuable information when aggregating weights, which may diminish the discriminating power between documents. To cope with this problem, the paper presents an approach for ranking documents in IR, based on a vector-based ordering technique already considered in fuzzy logic for multiple criteria analysis purpose. Moreover, the proposed approach uses a possibilistic framework for evaluating queries to a document collection, which distinguishes between descriptors that are certainly relevant and those which are possibly relevant only. The proposal is evaluated on a benchmark collection that allows us to compare the effectiveness of this approach with a classical one. The proposed method provides an improvement of the precision w.r.t Mercure IR system.