Results 71 to 80 of about 590,423 (257)
PENDEKATAN ALGORITMA GENETIKA DALAM MENYELESAIKAN PERMASALAHAN FUZZY LINEAR PROGRAMMING
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2011 Fuzzy linear programming is one of the linear programming developments which able to accommodate uncertainty in the real world. Genetic algorithm approach in solving linear programming problems with fuzzy constraints has been introduced by Lin (2008) by ...
Siska Dewi Lestari, Subanar Subanar
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On the selection of m for Fuzzy c-Means
, 2015 Fuzzy c-means is a well known fuzzy clustering algorithm. It is an unsupervised clustering algorithmthat permits us to build a fuzzy partition from data.
Vicenç Torra, Torra, Vicenç,
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Advanced Science, EarlyView.This study elucidates the microstructural evolution at the material interface of Ni‐plated plain‐weave carbon fiber fabric following vacuum heat treatment at 500°C–900°C under different current densities, as well as the mechanism underlying the synergistic enhancement of electromagnetic shielding and ductility.
Wei Cheng +7 more
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Why Use a Fuzzy Partition in F-Transform?
Axioms, 2019 In many application problems, F-transform algorithms are very efficient. In F-transform techniques, we replace the original signal or image with a finite number of weighted averages.
Vladik Kreinovich +2 more
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Advanced Science, EarlyView.Clinical intramuscular thymus transplantation yields only short‐lived efficacy and marginal therapeutic benefits. Benefiting from the spleen's intrinsic strengths—rapid vascular perfusion, abundant developmental factors, and resident progenitors—the intrasplenic thymic grafts achieve robust thymic regeneration and substantial T‐cell reconstitution ...
Shaocong Wang +10 more
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, 2009 Although an overall knowledge discovery process consists of a distinct pre-processing stage followed by the data mining step, it seems that existing formal concept analysis (FCA) and association rules mining (ARM) approaches, dealing with many-valued ...
Prade, Henri +5 more
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Fuzzy modelling using a simplified rule base [PDF]
, 2004 Transparency and complexity are two major concerns of fuzzy rule-based systems. To improve accuracy and precision of the outputs, we need to increase the partitioning of the input space.
M. Shamim Khan +5 more
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Advanced Science, EarlyView.A universal hydrogel microparticle template with five DNA‐addressable domains decouples particle fabrication from barcode writing. Contact‐free multilaminar flow lithography produces >106 templates/h, and post‐fabrication domain‐selective hybridization converts one batch into large, user‐defined optical barcode libraries with robust decoding and re ...
Akihiro Eguchi +5 more
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Fuzziness measurement of fuzzy sets and its application in cluster validity analysis
, 2007 To measure the fuzziness of fuzzy sets, this paper introduces a distance-based and a fuzzy entropybased measurements. Then these measurements are generalized to measure the fuzziness of fuzzy partition, namely partition fuzziness.
Li, J, Li, X, Gao, X, Tao, D
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Advanced Science, EarlyView.In colitis patients and mice, reduced Lactobacillus abundance is observed. Experimental studies show that L. plantarum A736 metabolizes dietary tryptophan into indole‐3‐lactic acid (ILA), while both L. plantarum A736 and ILA impact ChAT‐expressing enteric neurons and acetylcholine levels, thereby regulating intestinal immune responses and alleviating ...
Bing Xia +15 more
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