13 research outputs found
Advanced inference in fuzzy systems by rule base compression
Get PDFThis paper describes a method for rule base compression of fuzzy systems. The method compresses a fuzzy system with an arbitrarily large number of rules into a smaller fuzzy system by removing the redundancy in the fuzzy rule base. As a result of this compression, the number of on-line operations during the fuzzy inference process is significantly reduced without compromising the solution. This rule base compression method outperforms significantly other known methods for fuzzy rule base reduction.Peer Reviewe
Unraveling the enhanced photocatalytic decomposition efficacy of the Al-doped ZnO nanoparticles@graphene sheets
No full textTaxonomy and Characterization of Biofilm Forming Polycyclic Aromatic Hydrocarbon Degrading Bacteria from Marine Environments
No full textSperm-Associated Antigen–17 Gene Is Essential for Motile Cilia Function and Neonatal Survival
No full textLGSA: Hybrid Task Scheduling in Multi Objective Functionality in Cloud Computing Environment
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Hybrid optimised deep learning-deep belief network for attack detection in the internet of things
No full textSimple synthesis of graphene nanocomposites MgO–rGO and Fe2O3–rGO for multifunctional applications
No full textScreening Plant Products for Ralstonia solanacearum Inhibition and Characterization of Antibacterial Compounds in Garcinia indica and Tamarindus indica
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