Geometric Plausible Inference

Authors

Valerie Cross
Thomas Sudkamp, Wright State University - Main CampusFollow

Document Type

Article

Publication Date

1994

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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.

Comments

Presented at the 1994 IEEE 3rd International Fuzzy Systems Conference, Orlando, FL.

Repository Citation

Cross, V., & Sudkamp, T. (1994). Geometric Plausible Inference. Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference, 451-455.
https://corescholar.libraries.wright.edu/cse/447

DOI

10.1109/FUZZY.1994.343743