Results 11 to 20 of about 725,256 (242)
International Journal of Applied Mathematics and Computer Science, 2022 This research is focused on decision-making problems with redundant and incomplete information under a fuzzy environment. Firstly, we present the definition of incomplete fuzzy soft sets and analyze their data structures.
Xia Sisi +3 more
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Optimal Strategy for Cyberspace Mimic Defense Based on Game Theory
IEEE Access, 2021 Traditional defensive techniques are usually static and passive, and appear weak to confront highly adaptive and stealthy attacks. As a novel security theory, Cyberspace Mimic Defense (CMD) creates asymmetric uncertainty that favors the defender.
Zequan Chen +7 more
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A Robotic Automatic Assembly System Based on Vision
Applied Sciences, 2020 At present, the production lines of mobile phones are mainly manual and semi-automatic. Robots are the most important tools used to improve the intelligence level of industry production.
Rui Song +3 more
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IET Collaborative Intelligent Manufacturing, 2022 With the rapid development of the social economy, consumer demand is evolving towards diversification. To satisfy market demand, enterprises tend to improve competitiveness by providing differentiated products.
Cheng Wang +3 more
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XML with incomplete information [PDF]
Journal of the ACM, 2010 We study models of incomplete information for XML, their computational properties, and query answering. While our approach is motivated by the study of relational incompleteness, incomplete information in XML documents may appear not only as null values but also as missing structural information.
Pablo Barcelo +3 more
openaire +4 more sources
Option pricing in time-changed Lévy models with compound Poisson jumps
Modern Stochastics: Theory and Applications, 2018 The problem of European-style option pricing in time-changed Lévy models in the presence of compound Poisson jumps is considered. These jumps relate to sudden large drops in stock prices induced by political or economical hits.
Roman V. Ivanov, Katsunori Ano
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Attribute Reduction Algorithm for Incomplete Information Systems Based on Intuitive Fuzzy Pairs
IEEE Access, 2023 The current attribute reduction algorithms for information systems are difficult to handle imbalanced data with default values. Therefore, to address the shortcomings of traditional attribute reduction algorithms (ARAs) in incomplete information systems,
Weihan Li, Jianwei Guo
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International Journal of Applied Mathematics and Computer Science, 2021 Multiple criteria decision making (MCDM) problems in practice may simultaneously contain both redundant and incomplete information and are difficult to solve.
Xia Sisi, Yang Haoran, Chen Lin
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Investment Timing Under Incomplete Information [PDF]
Mathematics of Operations Research, 2002 We study the decision of when to invest in a project whose value is perfectly observable but driven by a parameter that is unknown to the decision maker ex ante. This problem is equivalent to an optimal stopping problem for a bivariate Markov process.
Décamps, Jean-Paul +2 more
openaire +7 more sources