Results 11 to 20 of about 654,687 (308)
Attribute Reduction in Incomplete Information System based on Rough Set Theory Using Fuzzy Imperialist Competitive Algorithm [PDF]
Journal of Information Technology Management, 2017 In recent years, rough set theory has been considered as a strong solution to solve artificial intelligence problem such as data mining. But, the classic rough set theory is not effective in the case of attribute reduction in incomplete information ...
Mohammad Ghanei Ostad +2 more
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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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Rough Set Approach to Incomplete Multiscale Information System [PDF]
The Scientific World Journal, 2014 Multiscale information system is a new knowledge representation system for expressing the knowledge with different levels of granulations. In this paper, by considering the unknown values, which can be seen everywhere in real world applications, the ...
Xibei Yang +5 more
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Label-based Approach for Dynamic Updating Approximations in Incomplete Fuzzy Probabilistic Rough Sets over Two Universes [PDF]
Jisuanji kexue, 2022 When the missing values are obtained in incomplete fuzzy probabilistic rough sets over two universes,the time efficiency of the traditional static algorithm for updating approximations in incomplete fuzzy probabilistic rough sets over two universes is ...
XUE Zhan-ao, HOU Hao-dong, SUN Bing-xin, YAO Shou-qian
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A decision loop for situation risk assessment under uncertainty: A case study of a gas facility
Petroleum, 2021 This paper presents a decision-making support system for situation risk assessment associated with critical alarms conditions in a gas facility. The system provides a human operator with advice on the confirmation and classification of occurred alarm ...
Antar Simohammed, Rachid Smail
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Tackling Incomplete System Specifcations Using Natural Deduction in the Paracomplete Setting [PDF]
, 2014 In many modern computer applications the significanceofspecificationbasedverificationiswellaccepted.However, when we deal with such complex processes as the integration of heterogeneous systems, parts of specification may be not known.
Bolotov, A. +3 more
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IEEE Access, 2019 An information system is a database that represents relationships between objects and attributes. A set-valued information system is the generalized model of a single-valued information system.
Xiaoliang Xie +3 more
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ROUGH CLASSIFICATION IN INCOMPLETE INFORMATION SYSTEMS
Mathematical and Computer Modelling, 1989 The paper is concerned with the problems of rough sets theory and rough classification of objects. It is a new approach to problems from the field of decision-making, data analysis, knowledge representation, expert systems etc. Several applications (particularly in medical diagnosis and engineering control) confirm the usefulness of the rough sets idea.
Słowiński, Roman, Stefanowski, Jerzy
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BLGAN: Bayesian Learning and Genetic Algorithm for Supporting Negotiation With Incomplete Information [PDF]
, 2009 Automated negotiation provides a means for resolving differences among interacting agents. For negotiation with complete information, this paper provides mathematical proofs to show that an agent’s optimal strategy can be computed using its opponent ...
Sim, Kwang Mong +3 more
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Fountain of Informatics Journal, 2018 Rough set theory is one of the mathematical models for dealing with a vague, imprecise, and fuzzy knowledge that has been successfully used to handle incomplete information systems.
Edi Sutoyo
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