DocumentCode
351333
Title
On the representation of veristic variables
Author
Yager, Ronald R.
Author_Institution
Machine Intelligence Inst., Iona Coll., New Rochelle, NY, USA
Volume
1
fYear
2000
fDate
7-10 May 2000
Firstpage
334
Abstract
The distinction between possibilistic and veristic variables is pointed out, the former, such as a persons age, takes exactly one value, while the latter, such as a persons hobbies, takes any number of solutions. We introduce a number of different types of statements involving veristic variables and then show how these can be translated into expressions and constraints, within the framework of the theory of approximate reasoning. We discuss the methods for combining veristic information
Keywords
fuzzy set theory; inference mechanisms; uncertainty handling; approximate reasoning; possibilistic variables; veristic variables representation; Cognition; Computational intelligence; Constraint theory; Educational institutions; Fuzzy reasoning; Fuzzy sets; Humans; Machine intelligence; Machinery; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 2000. FUZZ IEEE 2000. The Ninth IEEE International Conference on
Conference_Location
San Antonio, TX
ISSN
1098-7584
Print_ISBN
0-7803-5877-5
Type
conf
DOI
10.1109/FUZZY.2000.838682
Filename
838682
Link To Document