Possibilistic Temporal Reasoning based on Fuzzy Temporal Constraints
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence. Reasoning Under Uncertainty. Pages 1916-1922.
Abstract
In this paper we propose a propositional temporal language based on fuzzy temporal constraints which turns out to be expressive enough for domains -like many coming from medicine- where knowledge is of propositional nature and an explicit handling of time, imprecision and uncertainty are required. The language is provided with a natural possibilistic semantics to account for the uncertainty issued by the fuzziness of temporal constraints. We also present an inference system based on specific rules dealing with the temporal constraints and a general fuzzy modus ponens rule whereby behaviour is shown to be sound. The analysis of the different choices as fuzzy operators leads us to identify the well-known Lukasiewicz implication as very appropriate to define the notion of possibilistic entailment, an essential element of our inference system.
@inproceedings{ijcai1995p246,
title = {Possibilistic Temporal Reasoning based on Fuzzy Temporal Constraints},
author = {Godo, Lluís and Vila, Lluís},
booktitle = {Proceedings of the Fourteenth International Joint Conference on
Artificial Intelligence, {IJCAI-95}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Chris S. Mellish},
pages = {1916--1922},
year = {1995},
note = {Reasoning Under Uncertainty},
url = {https://ijcai.org/proceedings/1995/246},
}
TY - CPAPER TI - Possibilistic Temporal Reasoning based on Fuzzy Temporal Constraints AU - Godo, Lluís AU - Vila, Lluís T2 - Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, IJCAI-95 PB - International Joint Conferences on Artificial Intelligence PY - 1995 SP - 1916 EP - 1922 UR - https://ijcai.org/proceedings/1995/246 ER -Copied
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