Results 61 to 70 of about 373,624 (300)
A kernel-based framework for learning graded relations from data [PDF]
, 2011 Driven by a large number of potential applications in areas like bioinformatics, information retrieval and social network analysis, the problem setting of inferring relations between pairs of data objects has recently been investigated quite intensively ...
Airola, Antti +5 more
core +3 more sources
Arthritis Care &Research, Accepted Article.Purpose The study aimed to identify symptom‐based predictors of dry eye disease (DED) signs in the Sjögrens International Collaborative Clinical Alliance (SICCA) cohort. Methods Retrospective analysis examining 16 ocular symptoms (most graded 0‐4) and artificial tear (AT) use (graded 0‐3) as predictors of DED signs [abnormal ocular surface staining ...
Pragnya R Donthineni +7 more
wiley +1 more source
Cogent Engineering, 2021 Pythagorean Fuzzy Numbers are more capable of modeling uncertainties in real-life decision-making situations than Intuitionistic Fuzzy Numbers. Majority of research in Pythagorean Fuzzy Numbers, used in Multiple Criteria Decision-Making problems, has ...
Alaa F. Momena, Nidal Abu-Zahra
doaj +1 more source
Using fuzzy logic to handle the semantic descriptions of music in a content-based retrieval system [PDF]
, 2006 This paper explores the potential use of fuzzy logic for semantic music recommendation. We show that a set of affective/emotive, structural and kinaesthetic descriptors can be used to formulate a query which allows the retrieval of intended music.
Leman, Marc, Lesaffre, Micheline
core
Extended Kalman filter-based learning of interval type-2 intuitionistic fuzzy logic system [PDF]
, 2017 Fuzzy logic systems have been extensively applied for solving many real world application problems because they are found to be universal approximators and many methods, particularly, gradient descent (GD) methods have been widely adopted for the ...
De Maere, Geert, Eyoh, Imo, John, Robert
core +1 more source
NEW INVESTMENT DECISION-MAKING TOOL THAT COMBINES A FUZZY INFERENCE SYSTEM WITH REAL OPTION ANALYSIS [PDF]
FUZZY ECONOMIC REVIEW, 2018 This paper proposes a new procedure for enriching investment and real option analysis performed with the fuzzy pay-off method by decomposing the pay-off distribution into multiple sub-distributions that correspond to different investment scenarios.
Kozlova Mariia +2 more
openaire +3 more sources
Robust Spot Melting by 3D Spot Arrangements in Electron Beam Powder Bed Fusion
Advanced Engineering Materials, EarlyView.This work proposes an approach to replace separately melted contours for spot melting in electron beam powder fusion. Adapting the spot arrangements close to the contour combined with stacking yields a comparable surface quality without the inherent challenges of separate contours, as demonstrated, by electron optical images and roughness measurements.
Tobias Kupfer +4 more
wiley +1 more source
Information Granules Problem: An Efficient Solution of Real-Time Fuzzy Regression Analysis
Journal of Advanced Computational Intelligence and Intelligent Informatics, 2014 Currently, Big Data is one of the common scenario which cannot be avoided. The presence of the voluminous amount of unstructured and semi-structured data would take too much time and cost too much money to load into a relational database for analysis purpose.
Azizul Azhar Ramli +2 more
openaire +1 more source
Measurement of Continuous Quantities and their Statistical Evaluation
Austrian Journal of Statistics, 2014 Measurement results of continuous quantities are always more or less imprecise. This imprecision is different from errors. The most suitable mathematical model to describe imprecision is by special fuzzy subsets of the set of real numbers R, called ...
Reinhard Karl Viertl
doaj +1 more source
Multimodal Data‐Driven Microstructure Characterization
Advanced Engineering Materials, EarlyView.A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang +4 more
wiley +1 more source