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Showing 1 to 6 of 6 for “"interval valued fuzzy"”.
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Fuzzy techniques for noise removal in image sequences and interval-valued fuzzy mathematical morphology
… becomes necessary. After an introduction to fuzzy set theory and image processing, in the first main part of the thesis, several fuzzy logic based video filters are proposed: one filter for grayscale video sequences corrupted by additive Gaussian noise and two color extensions of it and two …
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Hybrid Fuzzy-Bayesian Dynamic Decision Support Tool for Resource-Based Scheduling of Construction Projects
… allocation of construction projects. A hybrid Fuzzy-Bayesian scheduling network and a new optimization model and solution approach have been developed to assess the combinatory effect of different risk factors on scheduling and optimize the time-cost tradeoff. Developed decision support tool …
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Fuzzy Decision Support Applied to Machine Maintenance
… of real world data leads to the use of type-1 fuzzy sets, type-2 fuzzy sets, fuzzy decision tree and fuzzy time-series for fuzzy data-mining - to which they are applied for the look-ahead based interval-valued fuzzy decision tree with optimal perimeter of the neighbourhood (LAIVFDT-OPN) model, …
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Mathematical tools for Hesitant Sets. Applications
… original de conjunto difuso, tales como interval-valued fuzzy sets, Atanassov's intuitionistic fuzzy sets o type-2 fuzzy sets. En los últimos años, aparece una interesante extensión de la lógica difusa, la llamada hesitant fuzzy logic. En este marco, se han definido distintos tipos de …
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Techniques for VLSI Circuit Optimization Considering Process Variations
… due to process variations is modeled using interval valued fuzzy numbers and a fuzzy programming based optimization is proposed to improve circuit yield without significant over design. In addition to the statistical optimization methods, we have proposed a novel technique that dynamically …
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Type-2 Fuzzy Alpha-cuts
Systems that utilise type-2 fuzzy sets to handle uncertainty have not been implemented in real world applications unlike the astonishing number of applications involving standard fuzzy sets. The main reason behind this is the complex mathematical nature of type-2 fuzzy sets which is the source of …