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Comparing Qualitative Descriptors with Different Granularities and Reference Systems
Zoe Falomir, Lledo Museros, Ismael Sanz, Amalia Luque, Luis Gonzalez-Abril
136 - 145
10.3233/978-1-61499-806-8-136
Frontiers in Artificial Intelligence and Applications
Volume 300: Recent Advances in Artificial Intelligence Research and Development
Abstract

How set theory and interval distances can be combined to compare qualitative concepts defined on reference systems at different levels of granularity is studied in this paper. A measure of similarity to compare qualitative concepts and reference systems is presented and implemented using first order logics. A case study with different angle descriptors is used for testing and promising results are obtained.

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