Deep Learning Algorithms and Multicriteria Decision-Making Used in Big Data: A Systematic Literature Review
The data are ever increasing with the increase in population, communication of different devices in networks, Internet of Things, sensors, actuators, and so on. This increase goes into different shapes such as volume, velocity, variety, veracity, and value extracting meaningful information and insig...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2020/2836064 |
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| _version_ | 1832566337341227008 |
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| author | Mei Yang Shah Nazir Qingshan Xu Shaukat Ali |
| author_facet | Mei Yang Shah Nazir Qingshan Xu Shaukat Ali |
| author_sort | Mei Yang |
| collection | DOAJ |
| description | The data are ever increasing with the increase in population, communication of different devices in networks, Internet of Things, sensors, actuators, and so on. This increase goes into different shapes such as volume, velocity, variety, veracity, and value extracting meaningful information and insights, all are challenging tasks and burning issues. Decision-making based on multicriteria is one of the most critical issues solving ways to select the most suitable decision among a number of alternatives. Deep learning algorithms and multicriteria-based decision-making have effective applications in big data. Derivations are made based on the use of deep algorithms and multicriteria. Due to its effectiveness and potentiality, it is exploited in several domains such as computer science and information technology, agriculture, and business sector. The aim of the proposed study is to present a systematic literature study in order to show the applications of deep learning algorithms and multicriteria decision approaches for the problems of big data. The research finds novel means to make the decision support system for the problems of big data using multiple criteria in integration with machine learning and artificial intelligence approaches. |
| format | Article |
| id | doaj-art-59c047f5d323445d983b01e46db50348 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-59c047f5d323445d983b01e46db503482025-02-03T01:04:28ZengWileyComplexity1076-27871099-05262020-01-01202010.1155/2020/28360642836064Deep Learning Algorithms and Multicriteria Decision-Making Used in Big Data: A Systematic Literature ReviewMei Yang0Shah Nazir1Qingshan Xu2Shaukat Ali3School of Politics and Public Administration, Collaborative Innovation Center of National Security Research, Xinjiang University, Urumuqi 830046, ChinaDepartment of Computer Science, University of Swabi, Khyber Pakhtunkhwa, PakistanSchool of Management and Economics, Beijing Institute of Technology, Bejing 100081, ChinaDepartment of Computer Science, Islamia College University, Peshawar, PakistanThe data are ever increasing with the increase in population, communication of different devices in networks, Internet of Things, sensors, actuators, and so on. This increase goes into different shapes such as volume, velocity, variety, veracity, and value extracting meaningful information and insights, all are challenging tasks and burning issues. Decision-making based on multicriteria is one of the most critical issues solving ways to select the most suitable decision among a number of alternatives. Deep learning algorithms and multicriteria-based decision-making have effective applications in big data. Derivations are made based on the use of deep algorithms and multicriteria. Due to its effectiveness and potentiality, it is exploited in several domains such as computer science and information technology, agriculture, and business sector. The aim of the proposed study is to present a systematic literature study in order to show the applications of deep learning algorithms and multicriteria decision approaches for the problems of big data. The research finds novel means to make the decision support system for the problems of big data using multiple criteria in integration with machine learning and artificial intelligence approaches.http://dx.doi.org/10.1155/2020/2836064 |
| spellingShingle | Mei Yang Shah Nazir Qingshan Xu Shaukat Ali Deep Learning Algorithms and Multicriteria Decision-Making Used in Big Data: A Systematic Literature Review Complexity |
| title | Deep Learning Algorithms and Multicriteria Decision-Making Used in Big Data: A Systematic Literature Review |
| title_full | Deep Learning Algorithms and Multicriteria Decision-Making Used in Big Data: A Systematic Literature Review |
| title_fullStr | Deep Learning Algorithms and Multicriteria Decision-Making Used in Big Data: A Systematic Literature Review |
| title_full_unstemmed | Deep Learning Algorithms and Multicriteria Decision-Making Used in Big Data: A Systematic Literature Review |
| title_short | Deep Learning Algorithms and Multicriteria Decision-Making Used in Big Data: A Systematic Literature Review |
| title_sort | deep learning algorithms and multicriteria decision making used in big data a systematic literature review |
| url | http://dx.doi.org/10.1155/2020/2836064 |
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