Type-2 fuzzy conceptual spaces

Title: Type-2 fuzzy conceptual spaces
Creator: Rickard, John T.; Aisbett, Janet; Gibbon, Greg
Relation: 2010 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2010). 2010 IEEE World Congress on Computational Intelligence (WCCI 2010) (Barcelona, Spain 18-23 July, 2010)
Publisher Link: http://dx.doi.org/10.1109/FUZZY.2010.5584169
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Resource Type: conference paper
Date: 2010
Description: We show how Type-2 fuzzy set modeling strengthens the theory of conceptual spaces first presented by Gärdenfors and developed by various authors. In fuzzy conceptual spaces, domains are defined as sets with a measure, properties as Type-2 fuzzy sets on domains, contexts as sets of properties, and concepts as Type-2 fuzzy sets on pairs of properties in a context. An observation is a family of fuzzy sets on the domains that are relevant to a context. Membership of an observation in a property is a Type-2 fuzzy set on the collection of observations. A geographical application illustrates how improved modeling of imprecision can affect decisions.
Subject: type-2 fuzzy sets; modeling; conceptual spaces; domains; observations
Identifier: http://hdl.handle.net/1959.13/927300
Identifier: uon:10103
Identifier: ISBN:9781424469208
Identifier: ISSN:1098-7584
Language: eng
Reviewed

		Thumbnail	File	Description	Size	Format