DocumentCode
635827
Title
Intuitive decision-making using hyper similarity matching
Author
Yager, Ronald R. ; Petry, Frederick E.
Author_Institution
Iona Coll., Machine Intell. Inst., New Rochelle, NY, USA
fYear
2013
fDate
24-28 June 2013
Firstpage
386
Lastpage
389
Abstract
We present the use of hyper similarity matching for modeling the situational matching central to intuitive decision making with importance weights for situations with different weight vectors. Extreme values are used to characterize intuitive situational matching by introducing the concept of amplification of the importances for such extreme values and characterizing similarity matching based on amplification.
Keywords
cognition; decision making; pattern matching; psychology; amplification; extreme values; hyper similarity matching; importance weights; intuitive decision making; intuitive situational matching; weight vectors; Decision making; Decision support systems; Educational institutions; Laboratories; Machine intelligence; Standards; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 2013 Joint
Conference_Location
Edmonton, AB
Type
conf
DOI
10.1109/IFSA-NAFIPS.2013.6608431
Filename
6608431
Link To Document