Identification of Fuzzy Information in English Interpretation Based on the Digital Elevation Model
With the rapid development of information society, a large amount of vague or uncertain English interpretation information appears in daily life. Uncertain information processing is an important research content in the field of artificial intelligence. In this paper, we combine the three-branch conc...
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Advances in Mathematical Physics |
| Online Access: | http://dx.doi.org/10.1155/2021/8520633 |
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| author | Bingjie Zhang Yiming Liu |
| author_facet | Bingjie Zhang Yiming Liu |
| author_sort | Bingjie Zhang |
| collection | DOAJ |
| description | With the rapid development of information society, a large amount of vague or uncertain English interpretation information appears in daily life. Uncertain information processing is an important research content in the field of artificial intelligence. In this paper, we combine the three-branch concept lattice and linguistic values with the digital elevation model and propose the three-branch fuzzy linguistic concept lattice as well as the attribute approximation method. In this paper, an improved serial algorithm for sink accumulation is proposed. The improved algorithm changes the order of cell calculation; after the cumulative amount of a “sub-basin” is calculated, all cells of the next “sub-basin” are calculated until all cells are calculated. The improved algorithm reduces the overhead space in the calculation process, reduces the pressure of cells entering and leaving the queue, and improves the calculation efficiency. The improved cumulant algorithm is compared with the commonly used recursive cumulant algorithm and the nonrecursive cumulant algorithm, and the improved algorithm improves by about 17% compared with the nonrecursive algorithm at 106 cell level, and the computation time of the recursive algorithm is about 3 times of the improved algorithm. Because the sink accumulation serial algorithm is an important part of the parallel calculation of sink accumulation, and the execution time is shorter by using the improved algorithm, this paper applies the proposed improved accumulation serial algorithm to the process of parallel calculation of accumulation. |
| format | Article |
| id | doaj-art-c323cfcacc09473baecc01fea82758e4 |
| institution | Kabale University |
| issn | 1687-9139 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Mathematical Physics |
| spelling | doaj-art-c323cfcacc09473baecc01fea82758e42025-02-03T01:25:15ZengWileyAdvances in Mathematical Physics1687-91392021-01-01202110.1155/2021/85206338520633Identification of Fuzzy Information in English Interpretation Based on the Digital Elevation ModelBingjie Zhang0Yiming Liu1School of English Language and CultureSchool of Foreign LanguagesWith the rapid development of information society, a large amount of vague or uncertain English interpretation information appears in daily life. Uncertain information processing is an important research content in the field of artificial intelligence. In this paper, we combine the three-branch concept lattice and linguistic values with the digital elevation model and propose the three-branch fuzzy linguistic concept lattice as well as the attribute approximation method. In this paper, an improved serial algorithm for sink accumulation is proposed. The improved algorithm changes the order of cell calculation; after the cumulative amount of a “sub-basin” is calculated, all cells of the next “sub-basin” are calculated until all cells are calculated. The improved algorithm reduces the overhead space in the calculation process, reduces the pressure of cells entering and leaving the queue, and improves the calculation efficiency. The improved cumulant algorithm is compared with the commonly used recursive cumulant algorithm and the nonrecursive cumulant algorithm, and the improved algorithm improves by about 17% compared with the nonrecursive algorithm at 106 cell level, and the computation time of the recursive algorithm is about 3 times of the improved algorithm. Because the sink accumulation serial algorithm is an important part of the parallel calculation of sink accumulation, and the execution time is shorter by using the improved algorithm, this paper applies the proposed improved accumulation serial algorithm to the process of parallel calculation of accumulation.http://dx.doi.org/10.1155/2021/8520633 |
| spellingShingle | Bingjie Zhang Yiming Liu Identification of Fuzzy Information in English Interpretation Based on the Digital Elevation Model Advances in Mathematical Physics |
| title | Identification of Fuzzy Information in English Interpretation Based on the Digital Elevation Model |
| title_full | Identification of Fuzzy Information in English Interpretation Based on the Digital Elevation Model |
| title_fullStr | Identification of Fuzzy Information in English Interpretation Based on the Digital Elevation Model |
| title_full_unstemmed | Identification of Fuzzy Information in English Interpretation Based on the Digital Elevation Model |
| title_short | Identification of Fuzzy Information in English Interpretation Based on the Digital Elevation Model |
| title_sort | identification of fuzzy information in english interpretation based on the digital elevation model |
| url | http://dx.doi.org/10.1155/2021/8520633 |
| work_keys_str_mv | AT bingjiezhang identificationoffuzzyinformationinenglishinterpretationbasedonthedigitalelevationmodel AT yimingliu identificationoffuzzyinformationinenglishinterpretationbasedonthedigitalelevationmodel |