Abstract
Conceptual spaces provide a rich interpretation for computing with words, offering additional structure to that provided by fuzzy set models alone. In fuzzy conceptual spaces, properties are type-2 fuzzy sets on domains, concepts are type-2 fuzzy sets on pairs of properties and an observation is a family of fuzzy sets on domains relevant to a context. These type-2 fuzzy set structures are derived and manipulated using subsethood. This chapter relates such a theory of conceptual spaces to conventional multivariate classification and computing with words (CWW), and illustrates its application to land use assessment tasks.
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Aisbett, J., Rickard, J.T. (2013). Type-2 Fuzzy Sets and Conceptual Spaces. In: Sadeghian, A., Mendel, J., Tahayori, H. (eds) Advances in Type-2 Fuzzy Sets and Systems. Studies in Fuzziness and Soft Computing, vol 301. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6666-6_8
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