I. Knowledge Processing and Fuzzy Uncertainty
In many practical situations, we only have expert estimates for the inputs . Sometimes, experts provide guaranteed bounds on , and even the probabilities of different values within these bounds. However, such cases are rare. Usually, the experts' opinion about the uncertainty of their estimates are described by (imprecise, “fuzzy”) words from natural language. For example, an expert can say that the value of the -th quantity is approximately equal to 1.0, with an accuracy most probably about 0.1. Based on such “fuzzy” information, what can we say about ?