Authors:
Marcelo Loor
1
and
Guy De Tré
2
Affiliations:
1
Ghent University and ESPOL University, Belgium
;
2
Ghent University, Belgium
Keyword(s):
Meaningful Comparison, Semantic Richer Similarity, Qualitative Comparison.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Computational Intelligence
;
Fuzzy Information Processing, Fusion, Text Mining
;
Fuzzy Information Retrieval and Data Mining
;
Fuzzy Systems
;
Pattern Recognition: Fuzzy Clustering and Classifiers
;
Soft Computing
;
Soft Computing and Intelligent Agents
Abstract:
To evaluate the level to which an object belongs (or not) to a particular set, say A, one could focus on some object’s features according to what one understands by A. With this consideration, using the evaluations of a group of objects given by two persons, we want to determine the level to which their individual understandings of A match. Therefore, hypothesizing that a difference in understandings (or connotations) of A could be marked by a difference in one or more of the evaluations, we propose a connotation-differential print (CDP). A CDP is a representation of any difference in connotations of A between two persons in a form that makes itself available to computation. Additionally, we study how to use a CDP to extend a similarity measure for intuitionistic fuzzy sets in order to reach a meaningful comparison between two of them.