DEVELOPMENT OF A METHOD OF FUZZY EVALUATION OF INFORMATION AND ANALYTICAL SUPPORT OF STRATEGIC MANAGEMENT
| Main Authors: | Ihor Alieinykov, Khudhair Abed Thamer, Yurii Zhuravskyi, Oleg Sova, Nataliia Smirnova, Ruslan Zhyvotovskyi, Serhiy Hatsenko, Sergii Petruk, Rostislav Pikul, Andrii Shyshatskyi |
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| Format: | Article eJournal |
| Bahasa: | eng |
| Terbitan: |
, 2019
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/3601427 |
Daftar Isi:
- The method of fuzzy evaluation of information and analytical support of strategic management is developed. A distinctive feature of the proposed method a flexible hierarchical structure of indicators. This allows reducing the task of multicriteria evaluation of alternatives to a single criterion or using the vector of indicators for selection and it provides an opportunity of fuzzy presentation of indicators and compatibility relations between them, which can realize the different nature of relationships. Also, this method allows implementing forward and backward fuzzy evaluation and takes into account the different significance of individual indicators by using the weight of the indicator. The development of the proposed method is due to the need for processing more information and moderate computational complexity. The research found that the proposed method has a computational complexity 10–15 % less than the methods used to evaluate the effectiveness of strategic management decisions. This method will allow evaluating the state of information and analytical support and identifying effective measures to improve the effectiveness of information and analytical support of strategic management. The method allows increasing the speed of evaluating the state of information and analytical support, reducing the use of computing resources of support and decision-making systems, developing measures aimed at improving the effectiveness of information and analytical support. It is advisable to use this method in decision support systems to evaluate strategic management issues