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https://er.nau.edu.ua/handle/NAU/38776| Title: | Optimal optional-hybrid functions distribution for a reliability problem within the “multi-optionality” uncertainty degree evaluation doctrine |
| Authors: | Goncharenko, Andriy Viktorovich |
| Keywords: | aircraft maintenance |
| Issue Date: | 23-Apr-2019 |
| Publisher: | National Aviation University |
| Citation: | Goncharenko A. V. Optimal optional-hybrid functions distribution for a reliability problem within the “multi-optionality” uncertainty degree evaluation doctrine / A. V. Goncharenko // Матеріали XIV міжнародної науково-технічної конференції “АВІА-2019”. (23-25 квітня 2019 р., Київ). – К.: НАУ, 2019. – pp. 17.6-17.10. |
| Abstract: | The sixth part of the generalization for the degrading state maximal probability determination in the framework of the hybrid-optional functions entropy conditional optimality doctrine initiated in the preceding reports was presented in the given report. The issue will be continued with a following sequence of reports. |
| Description: | However in this work we interpret it, Eq. (11), as the optional hybrid functions distribution since we do not consider any active elements or subjects (persons, individuals, or human beings) in the system. Instead we deal with (1)-(11), the objectively existing optimal quality of the system, corresponding with the system intrinsic nature, rather than subjectively preferred (although might be also essential, indispensable) matter [8-10, p. 39]. |
| URI: | http://er.nau.edu.ua/handle/NAU/38776 |
| Appears in Collections: | The Fourteenth International Scientific Conference "AVIA-2019" |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 4755.pdf | The Fourteenth International Scientific Conference "AVIA-2019", Optimal optional-hybrid functions distribution for a reliability problem within the “multi-optionality” uncertainty degree evaluation doctrine | 747.57 kB | Adobe PDF | View/Open |
| Goncharenko_A_V_References.doc | References | 146 kB | Microsoft Word | View/Open |
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