| Autor: |
Donghang Liu, Xuekui Shangguan, Keyu Wei, Chensi Wu, Xiaoying Zhao, Qifeng Sun, Yaoyu Zhang, Ruijun Bai |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
|
| Zdroj: |
International Journal of Cognitive Computing in Engineering, Vol 4, Iss , Pp 340-348 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2666-3074 |
| DOI: |
10.1016/j.ijcce.2023.09.004 |
| Popis: |
As intelligent systems continue to evolve, problems are becoming increasingly complex. The constant abundance of data puts a higher demand on the value of data utilization. Granular computing is a new computational paradigm for complex problem-solving. It takes structured thinking, structured problem-solving methods, and structured information processing patterns as its research objects and belongs to the scope of higher-level human cognitive mechanism research. The development and application of granular computing must be more standardized and unified. The granular computing standardization strategy is the most direct means to promote the regularization of granular computing. In this paper, we first sort out the main applications of granular computing in standards. According to the characteristics of granular computing, a framework of its standard system is proposed to provide a reference for the subsequent research of granular computing standards. The next direction of the granular computing standards strategy is discussed, and solutions are given. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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