Geometric Plausible Inference

Valerie Cross; Thomas Sudkamp

doi:10.1109/FUZZY.1994.343743

Geometric Plausible Inference

Valerie Cross, Thomas Sudkamp

Wright State University

Research output: Contribution to journal › Article › peer-review

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.

Original language	American English
Journal	Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference
DOIs	https://doi.org/10.1109/FUZZY.1994.343743
State	Published - Jan 1 1994

Keywords

Computer science
Fuzzy control
Fuzzy reasoning
Fuzzy sets
Fuzzy systems
Information analysis
Knowledge based systems

Disciplines

Computer Sciences
Engineering
Mathematics
Physical Sciences and Mathematics

Access to Document

10.1109/FUZZY.1994.343743License: Unspecified

http://ieeexplore.ieee.org/document/343743/

Cite this

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title = "Geometric Plausible Inference",

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.",

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author = "Valerie Cross and Thomas Sudkamp",

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AB - 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.

KW - Computer science

KW - Fuzzy control

KW - Fuzzy reasoning

KW - Fuzzy sets

KW - Fuzzy systems

KW - Information analysis

KW - Knowledge based systems

UR - https://corescholar.libraries.wright.edu/cse/447

UR - http://ieeexplore.ieee.org/document/343743/

U2 - 10.1109/FUZZY.1994.343743

DO - 10.1109/FUZZY.1994.343743

M3 - Article

JO - Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference

JF - Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference

ER -

Geometric Plausible Inference

Abstract

Keywords

Disciplines

Access to Document

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Cite this