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Genetic fuzzy system for prediction of respiratory rate of chicks subject to thermal challenges
Revista Brasileira de Engenharia Agrícola e AmbientalThe aim of this study was to estimate and compare the respiratory rate (breath min-1) of broiler chicks subjected to different heat intensities and exposure durations for the first week of life using a Fuzzy Inference System and a Genetic Fuzzy Rule ...
Patrícia F. P. Ferraz +5 more
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A Gaussian-Shaped Fuzzy Inference System for Multi-Source Fuzzy Data
Systems, 2022 Fuzzy control theory has been extensively used in the construction of complex fuzzy inference systems. However, we argue that existing fuzzy control technologies focus mainly on the single-source fuzzy information system, disregarding the complementary ...
Yun Zhang, Chaoxia Qin
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Extending the functional equivalence of radial basis functionnetworks and fuzzy inference systems [PDF]
, 1996 We establish the functional equivalence of a generalized class of Gaussian radial basis function (RBFs) networks and the full Takagi-Sugeno model (1983) of fuzzy inference.
Haas, R., Hunt, K.J., Murray-Smith, R.
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Measurement + Control, 2019 To improve surplus torque suppression and loading performance of electric load simulators, this paper presents a loading control strategy based on the new mapping approach and fuzzy inference scheme in the fuzzy Cerebellar Model Articulation Controller ...
Bo Yang, Fuhuang Liu, Meng Zhang
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A comparison of fuzzy approaches to e-commerce review rating prediction [PDF]
, 2015 This paper presents a comparative analysis of the performance of fuzzy approaches on the task of predicting customer review ratings using a computational intelligence framework based on a genetic algorithm for data dimensionality reduction.
Acampora, G, Cosma, G
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A New Distance-Type Fuzzy Inference Method Based on Characteristic Parameters
MathematicsReasoning is a cognitive activity that leverages knowledge to generate solutions to problems. Knowledge representations in the brain require both symbolic and graphical information since visual information is figurative and conveys a large amount of ...
Shuoyu Wang
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Z Number Based Fuzzy Inference System for Dynamic Plant Control
Advances in Fuzzy Systems, 2016 Frequently the reliabilities of the linguistic values of the variables in the rule base are becoming important in the modeling of fuzzy systems. Taking into consideration the reliability degree of the fuzzy values of variables of the rules the design of ...
Rahib H. Abiyev
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Fuzzy Sets and Systems, 1993 The author applies Zadeh's extension principle to Bayes' theorem for both fuzzy data and fuzzy priors resulting in fuzzyfied versions of some classical tools in Bayesian statistics, like fuzzy posterior densities, fuzzy Bayes estimators, fuzzy predictive densities and fuzzy highest posterior density regions.
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Fast Fuzzy Inference in Octave [PDF]
International Journal of Computational Intelligence Systems, 2013 Fuzzy relations are simple mathematical structures that enable a very general representation of fuzzy knowledge, and fuzzy relational calculus offers a powerful machinery for approximate reasoning. However, one of the most relevant limitations of approximate reasoning is the efficiency bottleneck.
Piero Molino +2 more
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On fuzzy reasoning schemes [PDF]
, 1999 In this work we provide a short survey of the most frequently used fuzzy reasoning schemes. The paper is organized as follows: in the first section we introduce the basic notations and definitions needed for fuzzy inference systems; in the second ...
Fullér, Róbert
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