There is no established formal framework for expert systems based on weighted IFTHEN rules. We discuss three mathematical models that have been recently proposed by the authors for CADIAG-2—a well-known system of this kind. The three frameworks are based on fuzzy logics, probability theory and possibilistic logic, respectively. CADIAG-2 is used here as a case study to evaluate these frameworks....

In light of recent research and empirical findings a new view on emotion and affect has surfaced. Within this view ‘feeling’ (core affect) is separated from ‘emotion’ (psychological construction). This model appears to be a good candidate for a computation model of affect and emotion. We argue that fuzzy logic is the perfect tool for its implementation, for the modeling of core affect dynamics,...

Article history: Available online 4 March 2011

We propose a fuzzy rule-based system to map representations of the emotional state of an animated agent onto muscle contraction values for the appropriate facial expressions. Our implementation pays special attention to the way in which continuous changes in the intensity of emotions can be displayed smoothly on the graphical face. The rule system we have defined implements the patterns describ...

1 Dental Diagnosis from X-Ray Images using Fuzzy Rule-Based Systems; Tran Manh Tuan, School of Information and Communication Technology, Thai Nguyen University, Thai Nguyen, Vietnam Nguyen Thanh Duc, Hanoi University of Science and Technology, Hanoi, Vietnam Pham Van Hai, Hanoi University of Science and Technology, Hanoi, Vietnam Le Hoang Son, VNU University of Science, Vietnam National Univers...

In reliability theory, the reliability measures contend the very important and depreciative role for any system analysis. Measurement of reliability measures is not easy due to ambiguity and vagueness which exist within reliability parameters. It is also very difficult to incorporate a large amount of uncertainty in well-established methodologies and techniques. However, fuzzy logic provides an...

Fuzzy rule-based systems have been very popular in many engineering applications. In mineral engineering, fuzzy rules are normally constructed using some fuzzy rule extraction techniques to establish the determination model in predicting the d50c of hydrocyclones. However, when generating fuzzy rules from the available information, it may result in a sparse fuzzy rule base. The use of more than...

This article discusses a rule-based fuzzy model for the identiication of nonlinear MISO (multiple input, single output) systems. The diss cussed method of fuzzy modeling consists of two parts: structure modeling, i.e. determing the numm ber of rules and input variables involved respecc tively, and parameter optimization, i.e. optimizing the location and form of the curves which describe the fuz...