DocumentCode
1118583
Title
Evidence Resolution Using Concept Hierarchies
Author
Petry, Frederick E. ; Yager, Ronald R.
Author_Institution
Naval Res. Lab., Stennis Space Center
Volume
16
Issue
2
fYear
2008
fDate
4/1/2008 12:00:00 AM
Firstpage
299
Lastpage
308
Abstract
This paper describes a conceptual and theoretical framework for the resolution of seemingly contradictory evidence for decision-making. Basic to this approach is the use of granulation provided by the categories obtained by ascending concept hierarchies. This process will be driven by the use of a criterion that represents the utility of granular categories to the user´s decision making. The definition of complete and partial evidence resolution and their properties are developed, which permits the formulation of the concept of preponderance of evidence for the decision maker. Finally, we show some preliminary results on the concepts of strength and consensus measures to provide metrics of the goodness of the evidence resolution.
Keywords
data mining; fuzzy set theory; attribute-oriented data mining; concept hierarchies; data summarization; decision-making; evidence resolution; fuzzy sets; granular categories; Cities and towns; Costs; Data mining; Decision making; Fuzzy sets; Laboratories; Machine intelligence; Concept hierarchy; decision-making; fuzzy sets; generalization; granular categories;
fLanguage
English
Journal_Title
Fuzzy Systems, IEEE Transactions on
Publisher
ieee
ISSN
1063-6706
Type
jour
DOI
10.1109/TFUZZ.2007.895966
Filename
4481148
Link To Document