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In this paper, a new fuzzy optimization based methodology called as a modified S-curve membership function has been utilized in an industrial production problems of oil company. The major contribution of this paper is on the optimization of profit function with respect to uncertain resource variables and technological coefficients. Three cases have been thoroughly studied in this paper. Comparative...
This paper examines and compares analytical tools in analysis of economic statistical data, econometric modeling, and neural network, soft-computing modeling, as representation models for time series processing in forecasting, decision and control. In addition, a novel forecasting model using Elman networks is proposed. A comprehensive experiment in applying the latter modeling has been carried out,...
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