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An Approximate Reasoning Approach to Rank the Results of Fuzzy Queries
Christer Carlsson, Robert Fullér, József Mezei, An Approximate Reasoning Approach to Rank the Results of Fuzzy Queries. In: Proceedings of the 2nd International Conference on Applied Operational Research - ICAOR'10, 2, 382-387, 2010.
Abstract:
In this paper we suggest the use of a context-dependent fuzzy
aggregation method to rank the results of fuzzy queries over fuzzy
ontologies. In our approach the fuzzy aggregation rules are provided
by the experts, the coefficients of the consequence part of the rules
are derived from the linguistic values used in the conditional part of
the rules and the rank of a search result is determined by the Takagi-
Sugeno fuzzy reasoning scheme.
BibTeX entry:
@INPROCEEDINGS{inpCaFuMe10a,
title = {An Approximate Reasoning Approach to Rank the Results of Fuzzy Queries},
booktitle = {Proceedings of the 2nd International Conference on Applied Operational Research - ICAOR'10},
author = {Carlsson, Christer and Fullér, Robert and Mezei, József},
volume = {2},
pages = {382-387},
year = {2010},
}
Belongs to TUCS Research Unit(s): Other