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 :
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