What is it about?
In this work, we present yet another incremental solution that is able to outperform existing approaches by using a sophisticated aggregation method based on fuzzy logic.
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Why is it important?
Results show us that our strategy is able to consistently beat existing approaches when solving well-known biomedical benchmark data sets.
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This page is a summary of: Accurate Semantic Similarity Measurement of Biomedical Nomenclature by Means of Fuzzy Logic, International Journal of Uncertainty Fuzziness and Knowledge-Based Systems, April 2016, World Scientific Pub Co Pte Lt,
DOI: 10.1142/s0218488516500148.
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