Нечітка нейронна система для прийняття рішень у менеджменті
This paper introduces a systematic approach for intelligent decision support system design based on a class of neural fuzzy networks built upon a general neuron model. The neural fuzzy networks can formally represent and process both the qualitative (linguistic) and quantitative information, which u...
Збережено в:
| Дата: | 2019 |
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| Автор: | |
| Формат: | Стаття |
| Мова: | English |
| Опубліковано: |
The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"
2019
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| Онлайн доступ: | http://journal.iasa.kpi.ua/article/view/175326 |
| Теги: |
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| Назва журналу: | System research and information technologies |
Репозитарії
System research and information technologies| Резюме: | This paper introduces a systematic approach for intelligent decision support system design based on a class of neural fuzzy networks built upon a general neuron model. The neural fuzzy networks can formally represent and process both the qualitative (linguistic) and quantitative information, which usually describe a complex, multidimensional systems or decision making processes. Presented the results of tests and a practical implementation of applications of fuzzy-neuro system for decision-making in strategic management and determination of product development strategy. |
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