Title :
On the representation of veristic variables
Author :
Yager, Ronald R.
Author_Institution :
Machine Intelligence Inst., Iona Coll., New Rochelle, NY, USA
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;
Conference_Titel :
Fuzzy Systems, 2000. FUZZ IEEE 2000. The Ninth IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-5877-5
DOI :
10.1109/FUZZY.2000.838682