Four methods of approximate reasoning with interval-valued fuzzy sets
An interval-valued fuzzy set approach is proposed for approximate reasoning. There are a number of possible interpretaions of the interval- valued fuzzy modus ponens. Four of these are discussed. Sufficient conditions are identified in order to reach a conclusion similar to the classical result. Numerical examples are given where appropriate. A prototype study is reviewed that shows an application of the interval- valued fuzzy set approach to aggregate production planning. The results of this approch are shown to fairly well approximate the results of currently accepted methods of aggregate production planning. Furthermore, the approach provides a much more ``user friendly'' interface.
scientific article; zbMATH DE number 4090837