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Linguistic classification: fuzzy dissimilarities and T-norms

Laura Franzoi
‱
Andrea Sgarro
2017
  • book part

Abstract
Back in 1967 the linguist Z. Muljacic used an additive distance between ill-defined linguistic features which is a forerunner of the fuzzy Hamming distance between strings of truth values in standard fuzzy logic. Here we show that if the logical frame is changed one obtains additive distances which are either sorely inadequate, as in the Ɓukasiewicz or probabilistic case, or coincide with the distance originally envisaged by Muljacic, as happens with a whole class of T-norms (abstract logical conjunctions) which includes the nilpotent minimum. All this strengthens the role of Muljacic distances in linguistic clustering and of Muljacic distinguishabilities (a notion subtly different from distances, but quite inalienable) in linguistic evolution. As a preliminary example we re-take and re-examine Muljacic original data.
DOI
10.1016/j.procs.2017.08.163
WOS
WOS:000418466000120
Archivio
http://hdl.handle.net/11368/2913948
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85032357932
http://www.sciencedirect.com/science/article/pii/S187705091731520X
Diritti
open access
FVG url
https://arts.units.it/request-item?handle=11368/2913948
Soggetti
  • string distance

  • fuzzy distance

  • string distinguishabi...

  • T-norm

  • linguistic classifica...

  • linguistic evolution

Web of Science© citazioni
4
Data di acquisizione
Mar 27, 2024
Visualizzazioni
3
Data di acquisizione
Apr 19, 2024
Vedi dettagli
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