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Forecasting Time and Cost of the Jobs in Network Models Based on Fuzzy Linguistic Estimates

The mechanisms for processing linguistic estimates in network models are presented. Linguistic estimates of the time and cost of work are represented by confidence intervals of fuzzy triangular and trapezoidal numbers with the Gauss membership function. As forecast parameters, the expected values of the time and cost of the work are used. The use of linguistic evaluations allows the early stages of design to more accurately determine the budget and time frame of the project for making informed decisions.