Оценка финансовой устойчивости предприятий на основе нечетких множеств; Перспективы развития фундаментальных наук; Т. 3 : Математика

Bibliographic Details
Parent link:Перспективы развития фундаментальных наук=Prospects of Fundamental Sciences Development: сборник научных трудов XХII Международной конференции студентов, аспирантов и молодых ученых, г. Томск, 22-25 апреля 2025/ Национальный исследовательский Томский политехнический университет ; под ред. И. А. Курзиной [и др.].— .— Томск: Изд-во ТПУ
Т. 3 : Математика.— 2025.— С. 97-99
Main Author: Шабашов А. А.
Other Authors: Мицель А. А. Артур Александрович (научный руководитель)
Summary:Заглавие с экрана
Assessing financial stability is crucial for enterprises operating in conditions of economic uncertainty. Traditional financial evaluation methods often fail to account for the gradual transitions between stability and distress. This study proposes a fuzzy logic-based approach that integrates linguistic variables and a double convolution algorithm to enhance accuracy. The results demonstrate that the proposed model provides a more adaptive and reliable assessment compared to conventional methods
Текстовый файл
Language:Russian
Published: 2025
Subjects:
Online Access:http://earchive.tpu.ru/handle/11683/133118
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=682752
Description
Summary:Заглавие с экрана
Assessing financial stability is crucial for enterprises operating in conditions of economic uncertainty. Traditional financial evaluation methods often fail to account for the gradual transitions between stability and distress. This study proposes a fuzzy logic-based approach that integrates linguistic variables and a double convolution algorithm to enhance accuracy. The results demonstrate that the proposed model provides a more adaptive and reliable assessment compared to conventional methods
Текстовый файл