Parametric Fuzzy Implications Produced via Fuzzy Negations with a Case Study in Environmental Variables [PDF]
Symmetry, 2021 In this paper, we present a new Fuzzy Implication Generator via Fuzzy Negations which was generated via conical sections, in combination with the well-known Fuzzy Conjunction. The new Fuzzy Implication Generator takes its final forms after being configured by the fuzzy strong negations and combined with the most well-known fuzzy conjunctions TM, TP ...
Stefanos Makariadis +2 more
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On modal forms of the two-parametric weak intuitionistic fuzzy implication
Notes on Intuitionistic Fuzzy Sets, 2022 In this paper new modal forms of the two-parametric weak intuitionistic fuzzy implication are introduced. Fulfillment of some properties, together with Modus Ponens and Modus Tollens inference rules, are investigated. Negations generated by implications are presented.
Piotr Dworniczak
exaly +2 more sources
Modeling and forecasting air pollution for public health protection based on ML and time series models in Gulf Cooperation Council (GCC) countries [PDF]
BMC Public HealthBackground Air pollution is a serious environmental factor associated with higher rates of illness and death from respiratory, cardiovascular, and other non-communicable diseases. Accurate prediction is vital for assessing health risks, which would guide
Muhammad Daniyal +5 more
doaj +2 more sources
Optimal Sampling of Parametric Families: Implications for Machine Learning [PDF]
Neural Computation, 2020 It is well known in machine learning that models trained on a training set generated by a probability distribution function perform far worse on test sets generated by a different probability distribution function. In the limit, it is feasible that a continuum of probability distribution functions might have generated the observed test set data; a ...
Adrian E. G. Huber +2 more
openaire +4 more sources
THE IMPACT OF GLEASON SCORE FROM THE BIOPSY AND FROM THE RADICAL PROSTATECTOMY ON THE BIOCHEMICAL PROGRESSION-FREE SURVIVAL [PDF]
Journal of IMAB, 2022 Introduction: Prostate cancer (PCa) in stages T1 and T2 can be treated either with radical prostatectomy (RP) or with radiotherapy. But in the clinical trials, the survival probability after RP is related to the Gleason score (GS) from the operation and ...
Boyan Lazarov, Tosho Ganev
doaj +1 more source
Developing parametric design fashion products using 3D printing technology
Fashion and Textiles, 2021 This study created wearable fashion products with parametric design characteristics, using 3D printing technology. The goal of the study was to understand what parametric design features can be simulated with 3D modeling and printing technology, as well ...
Jiwoon Jeong +4 more
doaj +1 more source
Implications of dark energy parametrizations for the determination of the curvature of the universe [PDF]
Journal of Cosmology and Astroparticle Physics, 2006 We investigate how the nature of dark energy affects the determination of the curvature of the universe from recent observations. For this purpose, we consider the constraints on the matter and dark energy density using observations of type Ia supernovae, baryon acoustic oscillation peak and cosmic microwave background with several types of dark energy
Ichikawa, Kazuhide +3 more
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A Brief Overview of Restricted Mean Survival Time Estimators and Associated Variances
Stats, 2020 Restricted Mean Survival Time ( R M S T ) experiences a renaissance and is advocated as a model-free, easy to interpret alternative to proportional hazards regression and hazard rates with implication in causal inference. Estimation of R M S T
Szilárd Nemes +2 more
doaj +1 more source
Multi-parametric MRI imaging of the prostate—implications for focal therapy [PDF]
Translational Andrology and Urology, 2017 The primary goal of a focal therapy treatment paradigm is to achieve cancer control through targeted tissue destruction while simultaneously limiting deleterious effects on peri-prostatic structures. Focal therapy approaches are employed in several oncologic treatment protocols, and have been shown to provide equivalent cancer control for malignancies ...
Wysock, James S., Lepor, Herbert
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Normality of oligonucleotide microarray data and implications for parametric statistical analyses [PDF]
Bioinformatics, 2003 Abstract Motivation: Experimental limitations have resulted in the popularity of parametric statistical tests as a method for identifying differentially regulated genes in microarray data sets. However, these tests assume that the data follow a normal distribution. To date, the assumption that replicate expression values for any gene are
Peter J. Giles, David Kipling
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