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- Article name
- IDENTIFICATION OF MEMBERSHIP FUNCTIONS AND ALGORITHMS FOR ESTIMATING PREFERENCES IN NETWORK-CENTRIC TECHNOLOGIES
- Authors
- Ryzhakov V. V., , rvv@pgta.ru, The Penza State Technological Academy, Penza, Russia
Ryzhakov M. V., , mryzhakov@applmech.mipt.ru, The Moscow Institute of Physics and Technology (State University), Moscow region, Dolgoprudny, Russia
Ryzhakov K. V., , , Research & design institute of radio-electronic engineering (NIKIRET), Zarechny, Penza region, Russia
- Keywords
- network-centric technologies / membership functions / algorithms for estimating the degree of functional correspondence
- Year
- 2018 Issue 1 Pages 26 - 31
- Code EDN
- Code DOI
- Abstract
- It is suggested to use more in-formative membership functions and algorithms in network-centric methodologies that take into account the characteristics of the uncomplementarity of fuzzy sets, conditional scales that determine the accuracy of estimating preferences and their significance.
- Text
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