Title :
Upper and lower memberships in CWW
Author_Institution :
Intelligent Syst. Lab., Toronto Univ., Ont., Canada
fDate :
6/23/1905 12:00:00 AM
Abstract :
CWW, computing with words, is enriched by upper and lower membership functions. Upper and lower membership functions are the bounds identified by interval valued Type-2 fuzziness. Interval-valued Type-2 representation and reasoning exists in membership acquisition and in combination of linguistic concepts. Upper and lower membership functions capture both imprecision and uncertainty associated with meaning in CWW. A much more rich meaning of words can be represented and reasoned with when we use Full Type-2 membership functions. In Full Type-2 representation and reasoning, degrees of uncertainty are captured as well as their bounds. But this entails a more complex representation and reasoning.
Keywords :
"Uncertainty","Fuzzy sets","Fuzzy reasoning","Intelligent systems","Laboratories","Industrial engineering","Fuzzy logic","Knowledge representation","Curve fitting","Natural languages"
Conference_Titel :
Fuzzy Systems, 2001. The 10th IEEE International Conference on
Print_ISBN :
0-7803-7293-X
DOI :
10.1109/FUZZ.2001.1009070