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hybrid learning rule matlab fuzzy logic tool  (MathWorks Inc)


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    MathWorks Inc hybrid learning rule matlab fuzzy logic tool
    Hybrid Learning Rule Matlab Fuzzy Logic Tool, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/fuzzy+logic+rules/10__21303_slash_2461___4262__2024__003390-116-15-18
    Average 90 stars, based on 1 article reviews
    hybrid learning rule matlab fuzzy logic tool - by Bioz Stars, 2026-09
    90/100 stars

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    other:

    Article Title: Numerical Simulation of Callus Healing for Optimization of Fracture Fixation Stiffness
    Article Snippet: Briefly, the algorithm applies a set of 20 linguistic fuzzy logic rules (Fuzzy Logic Toolbox in MATLAB (v7.11, R2010b), The MathWorks, Inc., Natick, MA, USA) that controls how tissue composition and vascularization for each finite element changes depending on local mechanical and biological stimuli in an iterative process, representing the healing progress.

    Article Title: Fuzzy Computing Model of Activity Recognition on WSN Movement Data for Ubiquitous Healthcare Measurement
    Article Snippet: Using the MATLAB™ toolbox, the fuzzy logic rules can be computed in the defuzzification process that employs the classical vertex method [ ].

    Article Title: Optimizing order fulfillment using design for six sigma and fuzzy logic
    Article Snippet: However, in this research the refined transfer function is presented as sets (sequences) of fuzzy logic rules evaluated using the fuzzy logic toolbox in MATLAB.

    Article Title: Categorization of the trophic status of a hydroelectric power plant reservoir in the Brazilian Amazon by statistical analyses and fuzzy approaches.
    Article Snippet: a Universidade Federal do Pará (UFPA) Instituto de Ciências Exatas e Naturais, Faculdade de Estatística and Faculdade de Ciências da Computação, Rua Augusto Correa 01, CEP: 66075–110, Belém, PA, Brazil b Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio), Departamento de Química, Laboratório de Bioanalítica, Rua Marquês de São Vicente, 225 Gávea, CEP: 22453–900, Rio de Janeiro, RJ, Brazil c Centro de Tecnologia da ELETRONORTE, Rodovia Arthur Bernardes, s/n – Miramar, Telégrafo sem Fio, CEP: 66.115-000, Belém, PA, Brazil



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    Fuzzy Logic Model Inference Rules for Environmental Risk R1 In the Construction Phase (Mamdani), Source: retrieved from MATLAB R2018.

    Journal: Scientific Reports

    Article Title: Development of modified fuzzy FMEA method in environmental risk assessment of earth dams

    doi: 10.1038/s41598-024-68217-w

    Figure Lengend Snippet: Fuzzy Logic Model Inference Rules for Environmental Risk R1 In the Construction Phase (Mamdani), Source: retrieved from MATLAB R2018.

    Article Snippet: Figure 7 Fuzzy Logic Model Inference Rules for Environmental Risk R1 In the Construction Phase (Mamdani), Source: retrieved from MATLAB R2018.

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