Title :
Geometric plausible inference
Author :
Cross, Valerie ; Sudkamp, Thomas
Author_Institution :
Dept. of Syst. Anal., Miami Univ., Oxford, OH, USA
Abstract :
Compatibility modification inference alters the consequent of a rule based on the compatibility of the antecedent with the input. Classically, set theoretic measures are used to assess the compatibility. Geometric plausible inference employs the dissemblance index to produce a metric compatibility measure. This type of inference utilizes graduality of nearness. Two approaches to geometric plausible inference are described and compared with other inference techniques using graduality
Keywords :
fuzzy set theory; spatial reasoning; uncertainty handling; approximation reasoning; compatibility modification inference; dissemblance index; fuzzy set theory; geometric plausible inference; graduality; metric compatibility; nearness; Computer science; Fuzzy control; Fuzzy reasoning; Fuzzy sets; Fuzzy systems; Information analysis; Knowledge based systems;
Conference_Titel :
Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1896-X
DOI :
10.1109/FUZZY.1994.343743
