Abstract
Information retrieval (IR) is the science of searching for documents, for information within documents, and for metadata about documents, as well as that of searching relational databases and the World Wide Web. In this paper we present a linguistic information retrieval system (IRS) based on prioritized aggregation of triangular fuzzy numbers, for dealing with such a problem. The advantage of this method with respect to other works is the use of the fuzzy prioritized weighting information that facilitates the expression of information needs and its ability of trade off between criteria with different priority levels. Another advantage of the method is that triangular uninorms are used to deal with the criteria priority in the process, more generality and flexibility is then obtained.
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© 2012 Springer-Verlag Berlin Heidelberg
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Wang, S. (2012). A Linguistic IRS Based on Prioritized Aggregation of Triangular Fuzzy Numbers. In: Wu, Y. (eds) Software Engineering and Knowledge Engineering: Theory and Practice. Advances in Intelligent and Soft Computing, vol 114. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03718-4_67
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DOI: https://doi.org/10.1007/978-3-642-03718-4_67
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