CASPIAN JOURNAL
MANAGEMENT AND HIGH TECHNOLOGIES
The analysis of opportunities for application of neuro and indistinct technologies when developing projects of territories building in conditions of basic data incompleteness
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Read | Kirakovskiy Valeriy V., Pylkin Aleksandr N., Faddeev Aleksandr O. The analysis of opportunities for application of neuro and indistinct technologies when developing projects of territories building in conditions of basic data incompleteness // Caspian journal : management and high technologies. — 2015. — №1. — pp. 74-86. |
Kirakovskiy Valeriy V. - Ph.D. (Engineering), Associate Professor, Ryazan State Radio Engineering University, 59/1 Gagarin St., Ryazan, 390005, Russian Federation, vpm@rsreu.ru
Pylkin Aleksandr N. - D.Sc. (Engineering), Professor, Ryazan State Radio Engineering University, 59/1 Gagarin St., Ryazan, 390005, Russian Federation, pylkin.a.n@rsreu.ru
Faddeev Aleksandr O. - D.Sc. (Engineering), Associate Professor, Academy of Law and Management Federal Penitentiary Servce, 1 Sennaya St., Ryazan, 390000, Russian Federation, io@pgproject.ru
The problem of decision support at optimization selection the project of building the settlements is actually by virtue of overall deficit areas; the presence of the existing buildings, traffic arteries, plots with complex engineering-geological and engineering-hydrogeological conditions. Wherein selection (optimization) decisions on the development of the territory (first of all designers) is in conditions of incomplete and inaccurate data about geological structure of the environment; about hydrogeological and ground deformation mode on the territory; about effect of the fields bioactive range of geodynamic origin and many others factors, defining the degree of suitability of the territory for it’s using. Moreover perspectives change zoning of the locality; forecasts for the hydrogeological and environmental situation in; prospects for increasing housing density in the subsequent period, development of transport construction, population growth of motorization etc.; is fuzzy (probabilistic). To solve the problem of decision-making in terms of incomplete and fuzzy information in this article are encouraged to use the income, based on the use of neuro-fuzzy technologies, in particular, hybrid ANFIS-network (Adaptive Neuro-Fuzzy Inference System). Wherein the authors are devote considerable attention for consideration of the specific subject area.
Key words: информационные технологии, ANFIS-сеть, нейронная сеть, проект застройки территории, поддержка принятия решений, критерии оптимальности, ограничения при выборе решений, неполнота информации, нечеткость информации, причины неполноты и нечеткости информации,