Fuzzy Conditional Inferences and Fuzzy Inferences with Fuzzy Quantifiers
Proceedings of the Sixth International Joint Conference on Artificial Intelligence. .
Abstract
L.A. Zadeh and E.II. 11amdani proposed methods for the fuzzy reasoning in which the antecedent involves a fuzzy conditional inference "If x is A then y is B" with A and B being fuzzy concepts. This paper points out that the consequences inferred by their methods do not always fit our intuitions, and suggests some new methods which fit our intuitions under several criteria such as modus ponens and modus tollens . This paper also contains the discussion of the fuzzy inferences whose antecedents have fuzzy quantifiers such as "most", "some" and "many" using our new methods for fuzzy conditional inferences.
@inproceedings{ijcai1979p129,
title = {Fuzzy Conditional Inferences and Fuzzy Inferences with Fuzzy Quantifiers},
author = {Mizumoto, Masaharu and Fukami, Satoru and Tanaka, Kokichi},
booktitle = {Proceedings of the Sixth International Joint Conference on
Artificial Intelligence, {IJCAI-79}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Bruce G. Buchanan},
year = {1979},
month = {8},
url = {https://ijcai.org/proceedings/1979/129},
}
TY - CPAPER TI - Fuzzy Conditional Inferences and Fuzzy Inferences with Fuzzy Quantifiers AU - Mizumoto, Masaharu AU - Fukami, Satoru AU - Tanaka, Kokichi T2 - Proceedings of the Sixth International Joint Conference on Artificial Intelligence, IJCAI-79 PB - International Joint Conferences on Artificial Intelligence PY - 1979 UR - https://ijcai.org/proceedings/1979/129 ER -Copied
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