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Predicting High-Strength Concrete's Compressive Strength: A Comparative Study of Artificial Neural Networks, Adaptive Neuro-Fuzzy Inference System, and Response Surface Methodology. [PDF]
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Fuzzy inference based on fuzzy concept lattice
Fuzzy Sets and Systems, 2006zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wen-Xiu Zhang
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Fuzzy classifications using fuzzy inference networks
IEEE Transactions on Systems, Man, and Cybernetics, 1998In this paper, fuzzy inference models for pattern classifications have been developed and fuzzy inference networks based on these models are proposed. Most of the existing fuzzy rule-based systems have difficulties in deriving inference rules and membership functions directly from training data. Rules and membership functions are obtained from experts.
Keung Kwan
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Picture inference system: a new fuzzy inference system on picture fuzzy set
Applied Intelligence, 2016In this paper, we propose a novel fuzzy inference system on picture fuzzy set called picture inference system (PIS) to enhance inference performance of the traditional fuzzy inference system. In PIS, the positive, neutral and negative degrees of the picture fuzzy set are computed using the membership graph that is the combination of three Gaussian ...
Le Hoang Son, Viet Van Pham
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Fuzzy inference and fuzzy inference processor
IEEE Micro, 1993Fuzzy inference, a data processing method based on the fuzzy theory that has found wide use in the control field, is reviewed. Consumer electronics, which accounts for most current applications of this concept, does not require very high speeds. Although software running on a conventional microprocessor can perform these inferences, high-speed control ...
Kazuo Nakamura +4 more
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Fuzzy Inference as a Generalization of the Bayesian Inference
Journal of Mathematical Sciences, 2016zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Koroteev, M. V. +2 more
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Fuzzy inference on an analog fuzzy chip
IEEE Micro, 1995Our analog fuzzy processor features an inference speed of more than 1 million fuzzy logical inferences per second, excluding defuzzification. A rule chip processes fuzzy inferences while a second chip handles defuzzification, a functional division that facilitates flexible system configuration.
Tsutomu Miki, Takeshi Yamakawa
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Fuzzy Inference on Quantum Annealers
2023 IEEE International Conference on Fuzzy Systems (FUZZ), 2023Quantum computers can potentially perform certain types of optimisation problems much more efficiently than classical computers, making them a promising tool for solving complex fuzzy logic problems. In two recent developments, based on solving Quadratic Unconstrained Binary Optimization (QUBO) problems on a type of quantum computers known as quantum ...
Pourabdollah A. +3 more
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On the Infimum and Supremum of Fuzzy Inference by Single Input Type Fuzzy Inference
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 2009Fuzzy inference has played a significant role in many applications. Although the simplified fuzzy inference method is currently mostly used, the problem is that the number of fuzzy rules becomes very huge and so the setup and adjustment of fuzzy rules become difficult. On the other hand, Yubazaki et al.
Hirosato Seki, Hiroaki Ishii
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