Results 1 to 10 of about 662,098 (274)

Spatial Prior Fuzziness Pool-Based Interactive Classification of Hyperspectral Images

open access: yesRemote Sensing, 2019
Acquisition of labeled data for supervised Hyperspectral Image (HSI) classification is expensive in terms of both time and costs. Moreover, manual selection and labeling are often subjective and tend to induce redundancy into the classifier.
Muhammad Ahmad   +6 more
doaj   +2 more sources

Entropy and Correlation Coefficients of Neutrosophic and Interval-Valued Neutrosophic Hypersoft Set with application of Multi-Attributive Problems [PDF]

open access: yesNeutrosophic Sets and Systems, 2022
In computational intelligence, machine learning, image processing, neural networks, medical diagnostics, and decision analysis, the ideas of correlation coefficients and entropy have practical applications. By applying hypersoft set (HSS) in neutrosophic
Muhammad Naveed Jafar   +2 more
doaj   +1 more source

Forecasting the course of construction project management in conditions of uncertainty [PDF]

open access: yesArchives of Civil Engineering, 2023
The methodology and research results presented in the article indicate the practical possibility of conducting optimization of construction project management course.
Jarosław Konior
doaj   +1 more source

Fuzziness and Frustration in the Energy Landscape of Protein Folding, Function, and Assembly

open access: yesAccounts of Chemical Research, 2021
Conspectus Are all protein interactions fully optimized? Do suboptimal interactions compromise specificity? What is the functional impact of frustration? Why does evolution not optimize some contacts?
S. Gianni   +5 more
semanticscholar   +1 more source

A Few Remarks on Prototype Theory in Cognitive Linguistics [PDF]

open access: yesLanguage, Culture, Politics, 2021
The purpose of the present paper is to demonstrate both the historical background of the prototype theory and its denitional problems. It presents two fundamental tenets of cognitive linguistics and the origin of prototype theory.
Alicja Cuper, Małgorzata Cuper-Ferrigno
doaj   +1 more source

Development of a Fuzzy Set Apparatus for Risk Measurement: the Case of Simultaneous Fuzziness of the Criterion Indicator and its Standard [PDF]

open access: yesProblemi Ekonomiki, 2019
The article deals with the development of a methodological apparatus for quantifying the degree of economic risk in modeling uncertainty with the usу of fuzzy set theory. The study implements the task of further development of a fuzzy set method for risk
Kotsyuba Oleksiy S.
doaj   +1 more source

Fuzziness of muscle synergies in patients with multiple sclerosis indicates increased robustness of motor control during walking

open access: yesScientific Reports, 2020
Deficits during gait poses a significant threat to the quality of life in patients with Multiple Sclerosis (MS). Using the muscle synergy concept, we investigated the modular organization of the neuromuscular control during walking in MS patients ...
L. Janshen   +3 more
semanticscholar   +1 more source

Assessment of the Integrated Safety of the University Management System Based on Soft Models

open access: yesСовременные информационные технологии и IT-образование, 2021
The real conditions in which the university operates are saturated with many non-factors present, an unfavorable combination of which can pose a threat to both the mental and physical health of all participants in the educational process and create risks
Gurru Akperov   +3 more
doaj   +1 more source

PRIORITIZING THE WEIGHTS OF THE EVALUATION CRITERIA UNDER FUZZINESS: THE FUZZY FULL CONSISTENCY METHOD – FUCOM-F

open access: yes, 2020
Values, opinions, perceptions, and experiences are the forces that drive almost each and every kind of decision-making. Evaluation criteria are considered as sources of information used to compare alternatives and, as a result, make selection easier ...
D. Pamucar, Fatih Ecer
semanticscholar   +1 more source

Fuzzy Clustering to Identify Clusters at Different Levels of Fuzziness: An Evolutionary Multiobjective Optimization Approach [PDF]

open access: yesIEEE Transactions on Cybernetics, 2018
Fuzzy clustering methods identify naturally occurring clusters in a dataset, where the extent to which different clusters are overlapped can differ. Most methods have a parameter to fix the level of fuzziness.
Avisek Gupta   +2 more
semanticscholar   +1 more source

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