Work

Application of neural fuzzy classification in decision support systems

Year: 2024

Type: article

Abstract: \nThe 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.\n

Source: Springer Link (Chiba Institute of Technology)

DOI: 10.1051/bioconf/202414504017/pdf

Authors: Nikolay Gomzov, Konstantin Zolnikov

Institutions: Tambov State Technical University, Voronezh State University of Forestry and Technologies

Language: English

Topic: Fuzzy Logic and Control Systems

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Life on land

Open Access status: green

OpenAlex ID: W6884530730

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