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- Nisrina Alaniah
- Ritsumeikan University
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- Cooper Eric
- Ritsumeikan University
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- Yu Yan
- Ritsumeikan University
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- Dong Phuong
- Ritsumeikan University
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Abstract
<p>Although human reasoning on implication is an essential part of both natural fuzzy reasoning and of fuzzy systems, it is still not fully elucidated. Logical puzzles such as Wason Selection Task suggest that it varies greatly depending on external parameters such as social context. In this paper, we introduce fuzzy implication to the study in the hopes of developing methods to elucidate how people reason about implication and what those results imply about the so-called errors of implication shown in classical studies of human reasoning. A survey is conducted containing questions with varying degrees of fuzziness. The subject is asked to evaluate the degree to which the examples follow a given rule. The results are analyzed by applying various methods of fuzzy implication to each response, and suggest that common methods of implication rules closely match most human reasoning.</p>
Journal
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- Proceedings of the Fuzzy System Symposium
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Proceedings of the Fuzzy System Symposium 36 (0), 341-344, 2020
Japan Society for Fuzzy Theory and Intelligent Informatics
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Details 詳細情報について
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- CRID
- 1391975831221064192
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- NII Article ID
- 130007957944
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- NII Book ID
- AA12165648
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- ISSN
- 18820212
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- NDL BIB ID
- 030690753
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- CiNii Articles
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- Abstract License Flag
- Disallowed