Fuzzy Logic Application in Data Acquisition
Abstract The aim of this paper is to introduce an expansion of the practice of using surveys when making subjective judgments or decisions. This method is particularly useful in situations in which precise data is limited or nonexistent. It can be especially valuable when working with new designs by reducing the error associated with estimates in the beginning of the product’s life cycle in which costs are greatest. Our approach modifies the traditional survey style by including fuzzy logic and expert judgment. Using fuzzy logic, we solicit the information in a way that gives the evaluator a continuous choice for the cost estimate and a method to indicate the level of confidence in a linguistic manner. By doing this, a range of the likely values for the real value can be defined, and a subjective judgment can be turned into objective information that can be more useful than the traditional approach.