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2016 | OriginalPaper | Chapter

9. Paraconsistency, Chellas’s Conditional Logics, and Association Rules

Authors : Tetsuya Murai, Yasuo Kudo, Seiki Akama

Published in: Towards Paraconsistent Engineering

Publisher: Springer International Publishing

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Abstract

Paraconsistency and its dual paracompleteness are now counted as key concepts in intelligent decision systems because so much inconsistent and incomplete information can be found around us. In this paper, a framework of conditional models for conditional logic and their measure-based extensions are introduced in order to represent association rules in a logical way. Then paracomplete and paraconsistent aspects of conditionals are examined in the framework. Finally we apply conditionals into the definition of association rules in data mining with confidence and consider their extension to the case of Dempster-Shaer theory of evidence serving double-indexed confidence.

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previous chapter A Review on Rough Sets and Possible World Semantics for Modal Logics
next chapter A Beautiful Theorem
Footnotes
1
In [7], Chellas used only \({{\Box }\!\rightarrow }\). The latter connective \({{\Diamond }\!\rightarrow }\) follows Lewis [11].
 
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Metadata
Title
Paraconsistency, Chellas’s Conditional Logics, and Association Rules
Authors
Tetsuya Murai
Yasuo Kudo
Seiki Akama
Copyright Year
2016
Book
Towards Paraconsistent Engineering

Print ISBN: 978-3-319-40417-2

Electronic ISBN: 978-3-319-40418-9

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-40418-9_9

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