Fuzzy-neuro system for decision-making in management
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...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | Ukrainian |
| Published: |
Igor Sikorsky Kyiv Polytechnic Institute
2019-08-01
|
| Series: | Sistemnì Doslìdženâ ta Informacìjnì Tehnologìï |
| Online Access: | http://journal.iasa.kpi.ua/article/view/175326 |
| Summary: | 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. |
|---|---|
| ISSN: | 1681-6048 2308-8893 |