The Rationality and Decidability of Fuzzy Implications
Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence. Reasoning Under Uncertainty. Pages 1910-1914.
Abstract
It is well known that knowledge-based systems would be more robust and smarter if they can deal with the inconsistent, incomplete or imprecise knowledge, which has been referred to as common sense knowledge. In this paper, we discuss fuzzy implications in the sense of common sense reasoning. Firstly, we analyse the rationality of some existing fuzzy implications based on the discussion of implicational paradoxes. Second!~ we present a new fuzzy preferential implication that is nonmonotonic, paraconsistent and without the general implicational paradoxes. Finally, we propose sound and complete decision tableaux of such implication~ which can be used as the inference engines of adaptive expert systems or frameworks for the fuzzy Prolog.
@inproceedings{ijcai1995p245,
title = {The Rationality and Decidability of Fuzzy Implications},
author = {Cheng, Xiaochun and Jiang, Yunfei and Liu, Xuhua},
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 = {1910--1914},
year = {1995},
note = {Reasoning Under Uncertainty},
url = {https://ijcai.org/proceedings/1995/245},
}
TY - CPAPER TI - The Rationality and Decidability of Fuzzy Implications AU - Cheng, Xiaochun AU - Jiang, Yunfei AU - Liu, Xuhua T2 - Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, IJCAI-95 PB - International Joint Conferences on Artificial Intelligence PY - 1995 SP - 1910 EP - 1914 UR - https://ijcai.org/proceedings/1995/245 ER -Copied
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