Abstract
A new method to find representative phrases from a musical score is given in this paper. It is based on the computation and use of a fuzzy proximity relation on a set of phrases. This relation is computed as a conjunction of values given by a W-indistinguishability on a set of variation of notes in the phrases, where W is the Lukasiewicz t-norm. Different fuzzy logics are used and compared in order to show their influence on the final decision. The proposed method to find the most representative phrase has been proved successful on different musical scores.
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Castañeda, E., Garmendia, L., Santos, M. (2012). Searching Musical Representative Phrases Using Decision Making Based on Fuzzy Similarities. In: Lu, J., Jain, L.C., Zhang, G. (eds) Handbook on Decision Making. Intelligent Systems Reference Library, vol 33. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25755-1_7
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DOI: https://doi.org/10.1007/978-3-642-25755-1_7
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