Fuzzy models and artificial neural networks in enterprise management
Journal Title: Economic cybernetics - Year 2011, Vol 2, Issue 70
Abstract
The article considers the problems of managing a modern enterprise based on neural networks and fuzzy mathematical economic models, and consider possible applications of these models. Proposed a structure of the enterprise management system based on the combined model, which allows evaluation the key indicators of production and receive their linguistic assessment for develop operational management decisions.
Authors and Affiliations
Bizyanov Evgenievich, Yuriy Lysenko, Alexandr Khmelev
Концепція інноваційної системи податкового адміністрування
На основі аналізу досвіду податкових реформ, що проводяться в інших країнах, у статті наведено пріоритетні напрямки розвитку податкового адміністрування, що дозволяють вирішити проблеми економіки України. Проведені дослі...
Имитация и прогнозирование нестационарных финансовых временных рядов
В статье представлен подход к моделированию финансовых временных рядов с использованием имитации и прогнозирования. Нестационарность оригинальных серий времени была принята во внимание и были использованы процедуры для с...
Conception of innovative tax administration system
Based on analysis of experience of tax reforms held in developing economics’ this paper proves the first order priority of tax administration problem solving for the economics of Ukraine. Conducted research of ways and e...
System analysis of a vertically integrated enterprise
Presented in a systematic look at the modeling of a viable vertically integrated system allows to formalize strukture-functional definition of VIS as a hierarchically organized on the principle of recursive systems, and...
Modeling of financial indicators dynamics on the basis of fuzzy logic using technical analysis theory rules
There is developed the methodological approach to construction of models of financial indicators development forecasting using the rules of technical analysis theory, which based on the fuzzy logic tools. Practical imple...