Results 151 to 160 of about 712 (173)
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Leveraging DRSA and SRAM for an Optimised Green Car Adoption Model
Lecture Notes in Business Information ProcessingSalem Chakhar
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DRSA and reductions in incomplete fuzzy information system
International Journal of Granular Computing, Rough Sets and Intelligent Systems, 2009Although many extended rough set models have been successfully applied into the incomplete information system, most of them do not take the incomplete information system with initial fuzzy data into account. This paper thus presents a general framework for the study of dominance-based rough set approach to the incomplete fuzzy information systems ...
Lihua Wei +3 more
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2021
Advantages of the original clustering method of DRSA, or Distance-Ranked Sorting Assembling, for vegetation classification are discussed. Using ranks in determining distances between objects provides robust clustering in case of noisy and heterogeneous phytocoenotic data.
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Advantages of the original clustering method of DRSA, or Distance-Ranked Sorting Assembling, for vegetation classification are discussed. Using ranks in determining distances between objects provides robust clustering in case of noisy and heterogeneous phytocoenotic data.
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Análise dos indicadores fundamentalistas em relação ao retorno acionário baseado na metodologia DRSA
Anais do Simpósio Brasileiro de Pesquisa Operacional, 2020Camyla Ferreira Moreno +4 more
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A new public key scheme based on DRSA and generalized GDLP
Discrete Mathematics, Algorithms and Applications, 2016In this paper, we propose a new public key scheme, which is a combination of RSA variant namely the DRSA and the generalization of generalized discrete logarithm problem (generalized GDLP). The security of this scheme depends equally on the integer factorization of [Formula: see text] and the discrete logarithm problem (DLP) on [Formula: see text ...
Pinkimani Goswami +2 more
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2021 IEEE Congress on Evolutionary Computation (CEC), 2021
Obtaining the optimal Pareto front in multiobjective portfolio problems can be impractical when considering real- world constraints, such as portfolio cardinality. Thus, it is interesting to consider multiobjective evolutionary algorithms to solve this type of problem in a reasonable time, but without quality guarantees.
Julio Cezar Soares Silva +1 more
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Obtaining the optimal Pareto front in multiobjective portfolio problems can be impractical when considering real- world constraints, such as portfolio cardinality. Thus, it is interesting to consider multiobjective evolutionary algorithms to solve this type of problem in a reasonable time, but without quality guarantees.
Julio Cezar Soares Silva +1 more
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Incremental method of updating approximations in DRSA under variations of multiple objects
International Journal of Machine Learning and Cybernetics, 2015Dominance-based rough sets approach (DRSA) uses dominance relations to substitute equivalence relations in conventional rough set models so that it can handle preference-ordered information. Up to date, DRSA has been widely used in multi-criteria decision-making problems.
Yan Li, Yongfei Jin, Xiaodian Sun
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An Optimizing Technique for MDGT Using DRSA Algorithm Association with IP Traceback Strategies
2010DoS / DDoS(Distributed Denial of Service) attacks deny regular, internet services accessed by legitimate users, either by blocking the services completely, or by disturbing it completely, so as to cause customer baulking. Several traceback schemes are available to mitigate these attacks.
S. Karthik 0001 +3 more
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2012
The fuzzy measure of competitiveness criteria can be used to enlighten policy making for enhancing national competitiveness. However, fuzzy densities and interactions among criteria are usually unknown or uncertain for implications thus making analysis complicated and hard.
Yu-Chien Ko +2 more
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The fuzzy measure of competitiveness criteria can be used to enlighten policy making for enhancing national competitiveness. However, fuzzy densities and interactions among criteria are usually unknown or uncertain for implications thus making analysis complicated and hard.
Yu-Chien Ko +2 more
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DRSA-Based Methodology for Group Multicriteria Classification Problems
2012no ...
Chakhar, Salem, Saad, Inès
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