@inproceedings{62284ed085fd4a31a6d4a72b3fd6a1c5,
title = "Inconsistency and preservation",
abstract = "One of the main goals of paraconsistent logics is to develop a theory of reasoning that can tolerate inconsistencies. In this paper we present a novel way to analyze and compare several paraconsistent reasoning mechanisms in terms of their preservational properties. The main idea is that although an inconsistent set of data cannot all be true, such a set may nevertheless carry useful properties that are worthy of preservation. One of these properties provides a theoretically interesting way to measure the relative incoherence of a data set; another one provides a way to measure the quantity of empirical information in an inconsistent set.",
author = "Paul Wong",
year = "2000",
doi = "10.1007/3-540-44533-1_9",
language = "English",
isbn = "3540679251",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "50--60",
editor = "Riichiro Mizoguchi and John Slaney",
booktitle = "PRICAI 2000, Topics in Artificial Intelligence - 6th Pacific Rim International Conference on Artificial Intelligence, Proceedings",
address = "Germany",
note = "6th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2000 ; Conference date: 28-08-2000 Through 01-09-2000",
}