In this paper, a computational method of forecasting based on fuzzy time series have been developed to provide improved forecasting results to cope up the situation containing higher uncertainty due to large fluctuations in consecutive year's values in the time series data and having no...

In this paper, two natural production inventory models based on fuzzy total production inventory cost with the preference of a decision maker are introduced, and combined by natural number parameters in which values are linguistic values in natural language, crisp real number variables, and...

In the paper it is shown how fuzzy set theory can be used for modeling imprecision and subjectiveness of the problems with a finite number of decision alternatives evaluated with respect to multiple criteria or attributes. The imprecision and subjectiveness appear especially when the decision...