Perceptual Computing: Aiding People in Making Subjective Judgments (Mendel, J.M. and Wu, D.; 2010) [Book Review]

The specific theories addressed in this book are concerned with fuzzy rule-based systems and fuzzy weighted averages, in which the fuzzy membership functions (MF) of the input, output and internal variables take interval values, reflecting imprecision in one's knowledge of the MF itself. This imprecision is routinely encountered in dealing with human perceptions of the meanings of descriptive words (e.g., small, long, fast, etc.) associated with such variables,where different individuals typically have different notions regarding the disposition of the degrees of membership in a particular fuzzy set. The familiar type-1 fuzzy set fails to capture this ambiguity in membership values, thus motivating the extensions described in this book.