Results 161 to 170 of about 40,981 (212)
Machine Learning-Enhanced Optimization for High-Throughput Precision in Cellular Droplet Bioprinting. [PDF]
Adv Sci (Weinh)Shin J +7 more
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Soft discernibility matrix and its applications in decision making
Applied Soft Computing, 2014Graphical abstractDisplay Omitted HighlightsThe aim of this paper is to solve the problem of decision makings by introducing soft discernibility matrix in soft sets.The notion of soft discernibility matrix is firstly introduced in soft sets.An novel algorithm based on the soft discernibility matrix is proposed to solve the problems of decision making ...
Qinrong Feng, Ying Zhou
exaly +4 more sources
Information Sciences
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Haotong Wen, Yi Xu 0015, Meishe Liang
exaly +4 more sources
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Haotong Wen, Yi Xu 0015, Meishe Liang
exaly +4 more sources
Journal of Intelligent & Fuzzy Systems, 2019
The basic idea underneath the generalized picture fuzzy soft set is very constructive in decision-making, since it considers, how to exploit an extra picture fuzzy input from the director to make up for any distortion in the information provided by the evaluation experts, which is defined by Khan et al.
Muhammad Jabir Khan +4 more
openaire +2 more sources
The basic idea underneath the generalized picture fuzzy soft set is very constructive in decision-making, since it considers, how to exploit an extra picture fuzzy input from the director to make up for any distortion in the information provided by the evaluation experts, which is defined by Khan et al.
Muhammad Jabir Khan +4 more
openaire +2 more sources
International Journal of Neutrosophic Science
For smart cities to succeed, substantial developments to take place in roads, city streets, public transportation, houses, businesses, and other aspects of city life must be drawn up. In today’s world, there is a crucial necessity for effective management of cities to reduce the effect of COVID19 disease with increasing population in cities.
Imène Issaouı, Afef Selmi
openaire +2 more sources
For smart cities to succeed, substantial developments to take place in roads, city streets, public transportation, houses, businesses, and other aspects of city life must be drawn up. In today’s world, there is a crucial necessity for effective management of cities to reduce the effect of COVID19 disease with increasing population in cities.
Imène Issaouı, Afef Selmi
openaire +2 more sources
Information Sciences, 2019
We eliminate unnecessary computations of attribute discernibility sets in discernibility matrix-based methods (DM-methods) of attribute reduction in concept lattices. We obtain a polynomial time algorithm we call a Skim DM-method.
Jan Konecny, Petr Krajca
exaly +2 more sources
We eliminate unnecessary computations of attribute discernibility sets in discernibility matrix-based methods (DM-methods) of attribute reduction in concept lattices. We obtain a polynomial time algorithm we call a Skim DM-method.
Jan Konecny, Petr Krajca
exaly +2 more sources
Neurocomputing, 2019
The datasets in real-world applications often vary dynamically over time. Moreover, datasets often expand by introducing a group of data in many cases rather than a single object one by one.
Fumin Ma, Tengfei Zhang, Jie Cao
exaly +2 more sources
The datasets in real-world applications often vary dynamically over time. Moreover, datasets often expand by introducing a group of data in many cases rather than a single object one by one.
Fumin Ma, Tengfei Zhang, Jie Cao
exaly +2 more sources
A ranking-based feature selection for multi-label classification with fuzzy relative discernibility
Applied Soft Computing, 2021Feature selection is a crucial pre-processing step for learning tasks to mitigate the “curse of dimensionality”, which is caused by irrelevant and redundant features in high-dimensional feature space.
Wenbin Qian +2 more
semanticscholar +1 more source
Partial Discernibility Matrices for Enumerating Relative Reducts of Large Datasets
2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS), 2022Discernibility matrix is one of the basic tools for enumerating relative reducts of decision tables in rough sets, however it needs heavy computing load when dealing with large datasets.
H. Okawa, Y. Kudo, T. Murai
semanticscholar +1 more source