Application of neural fuzzy classification in decision support systems
The article proposes a classification of fuzzy information about the terrain for solving problems in the fields of agriculture and forestry. This classification allows for a more accurate description and understanding of the characteristics of fuzzy information, which can be useful for decision-maki...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2024-01-01
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| Series: | BIO Web of Conferences |
| Online Access: | https://www.bio-conferences.org/articles/bioconf/pdf/2024/64/bioconf_ForestryForum2024_04017.pdf |
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| _version_ | 1846139541407137792 |
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| author | Gomzov Nikolay Zolnikov Konstantin |
| author_facet | Gomzov Nikolay Zolnikov Konstantin |
| author_sort | Gomzov Nikolay |
| collection | DOAJ |
| description | The article proposes a classification of fuzzy information about the terrain for solving problems in the fields of agriculture and forestry. This classification allows for a more accurate description and understanding of the characteristics of fuzzy information, which can be useful for decision-making under uncertainty. Special attention is given to the area of forest fire modeling using geographic information systems. A hybrid fuzzy network is proposed for classifying the parameters of the fire source and the environment to select the optimal analytical model. |
| format | Article |
| id | doaj-art-33cdeb6b9f4a4dd4b54ff2eb6d254002 |
| institution | Kabale University |
| issn | 2117-4458 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | BIO Web of Conferences |
| spelling | doaj-art-33cdeb6b9f4a4dd4b54ff2eb6d2540022024-12-06T09:33:14ZengEDP SciencesBIO Web of Conferences2117-44582024-01-011450401710.1051/bioconf/202414504017bioconf_ForestryForum2024_04017Application of neural fuzzy classification in decision support systemsGomzov Nikolay0Zolnikov Konstantin1Tambov State Technical University, RussiaVoronezh State Forest Engineering University named after G.F. MorozovThe article proposes a classification of fuzzy information about the terrain for solving problems in the fields of agriculture and forestry. This classification allows for a more accurate description and understanding of the characteristics of fuzzy information, which can be useful for decision-making under uncertainty. Special attention is given to the area of forest fire modeling using geographic information systems. A hybrid fuzzy network is proposed for classifying the parameters of the fire source and the environment to select the optimal analytical model.https://www.bio-conferences.org/articles/bioconf/pdf/2024/64/bioconf_ForestryForum2024_04017.pdf |
| spellingShingle | Gomzov Nikolay Zolnikov Konstantin Application of neural fuzzy classification in decision support systems BIO Web of Conferences |
| title | Application of neural fuzzy classification in decision support systems |
| title_full | Application of neural fuzzy classification in decision support systems |
| title_fullStr | Application of neural fuzzy classification in decision support systems |
| title_full_unstemmed | Application of neural fuzzy classification in decision support systems |
| title_short | Application of neural fuzzy classification in decision support systems |
| title_sort | application of neural fuzzy classification in decision support systems |
| url | https://www.bio-conferences.org/articles/bioconf/pdf/2024/64/bioconf_ForestryForum2024_04017.pdf |
| work_keys_str_mv | AT gomzovnikolay applicationofneuralfuzzyclassificationindecisionsupportsystems AT zolnikovkonstantin applicationofneuralfuzzyclassificationindecisionsupportsystems |