#86. Old paper by Jonathan Lawry
The PDF of an interesting paper popped up while looking for something else.
Jonathan Lawry (2004). A framework for linguistic modelling. Artificial Intelligence 155, 1–39.
The topic is modelling linguistic labels. If you are familiar with the Bristol people, you know they tend to favour the random-set interpretation of fuzzy sets, instead of the fuzzy-logic approach. In this case, however, to model a linguistic constraint on a variable they match each individual to a set of appropriate labels, so the mathematical object is a random subset of a finite universe of labels.
Sections 1 and 2 make a long introduction which is informative and carefully written.
Jonathan Lawry (2004). A framework for linguistic modelling. Artificial Intelligence 155, 1–39.
The topic is modelling linguistic labels. If you are familiar with the Bristol people, you know they tend to favour the random-set interpretation of fuzzy sets, instead of the fuzzy-logic approach. In this case, however, to model a linguistic constraint on a variable they match each individual to a set of appropriate labels, so the mathematical object is a random subset of a finite universe of labels.
Sections 1 and 2 make a long introduction which is informative and carefully written.
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