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Approximate reasoning and the ethnomathematics of cooking
Prometeica, 2023 Several methods of approximate reasoning are known, and many remain to be discovered across domains. Some are tied to reasoning with uncertainty. The developments over the last fifty years or so in the development of approximate reasoning methods, and ...
A. Mani
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Design of a Computable Approximate Reasoning Logic System for AI
Mathematics, 2022 The fuzzy logic reasoning based on the “If... then...” rule is not the inaccurate reasoning of AI against ambiguity because fuzzy reasoning is antilogical. In order to solve this problem, a redundancy theory for discriminative weight filtering containing
Kaidi Liu, Yancang Li, Rong Cui
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Approximate Reasoning for Large-Scale ABox in OWL DL Based on Neural-Symbolic Learning
Mathematics, 2023 The ontology knowledge base (KB) can be divided into two parts: TBox and ABox, where the former models schema-level knowledge within the domain, and the latter is a set of statements of assertions or facts about instances.
Xixi Zhu +4 more
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Approximate reasoning for real-time probabilistic processes [PDF]
Logical Methods in Computer Science, 2006 We develop a pseudo-metric analogue of bisimulation for generalized semi-Markov processes. The kernel of this pseudo-metric corresponds to bisimulation; thus we have extended bisimulation for continuous-time probabilistic processes to a much broader ...
Vineet Gupta +2 more
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IEEE Access, 2021 Data-driven and knowledge-driven methods are two mainstream techniques in the pursuit of developing artificial intelligence systems. While data-driven methods seek to develop a decision model from observations in the real world, they are difficult to ...
Teeradaj Racharak
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What Is Approximate Reasoning? [PDF]
, 2008 Approximate reasoning for the Semantic Web is based on the idea of sacrificing soundness or completeness for a significant speed-up of reasoning. This is to be done in such a way that the number of introduced mistakes is at least outweighed by the obtained speed-up.
Rudolph, Sebastian +2 more
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Linguistic-Valued Approximate Reasoning With Lattice Ordered Linguistic-Valued Credibility [PDF]
International Journal of Computational Intelligence Systems, 2015 Linguistic terms are often used to represent the truth degree or credibility degree to manage the uncertainty or imprecision as one of popular ways of knowledge representation in the perception-based decision making problem.
Li Zou, Yunxia Zhang, Xin Liu
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Fuzzy evaluation method using fuzzy rule approach in multicriteria analysis [PDF]
Yugoslav Journal of Operations Research, 2008 A multicriteria analysis in ranking the quality of teaching using fuzzy rule is proposed. The proposed method uses the application of fuzzy sets and approximate reasoning in deciding the ranking of the quality of teaching in several courses. The proposed
Othman Mahmod +2 more
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On the hardness of approximate reasoning [PDF]
Artificial Intelligence, 1996 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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An Heuristic Framework for Non-Conscious Reasoning
Applied Sciences, 2017 Human non-conscious reasoning is one of the most successful procedures evolved for the purposes of solving everyday problems in an efficient way. This is why the field of artificial intelligence should analyze, formalize and emulate the multiple ways of ...
Felipe Lara-Rosano
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