A guide to the design offuzzy control systems for manufacturing processes

Notice of Retraction: Optimization method of fuzzy system based on genetic algorithm

“…In this paper, a method named Fuzzimetric Circle is introduced, which was ftrst proposed and declared by Kouatli et al [5,6]. It is used to select and tune the fuzzy set shape (Fuzzy variable defmition), while crossover and mutation operators are used to adapt the fuzzy set shape, the way of how to utilize this operator as part of the evolutionary mechanism in a genetic fuzzy system (GFS) is introduced, the use of this method as a generic inference tool is advised, and the construct of the generic fuzzy inference engine with Fuzzimetric circle is proposed.…”

Capturing emotion reactivity through physiology measurement as a foundation for affective engineering in engineering design science and engineering practices

“…With respect to scenarios involving human-machine interactions in particular, great advances have been made in decision support and control systems (Kouatli and Jones 1990;Albayrak and Erensal 2004;Malakooti 2010;Fontan et al 2005;Ruderman et al 2011). However, the critical elements, the actions and responses of humans, remain far beyond automatic control because of the irrational behavior of human subjects (Wilson and Keil 2001;Boy 2012;Sears and Jacko 2007;Cacciabue 2004).…”

A Probabilistic and Statistical View of Fuzzy Methods

“…Kouatli and Jones (1990), for example, wrote that "fuzzy sets are clearly suitable for describing the process of human thinking which usually involves ill-defined [criteria]" (p. 232). Advocates of FST claim that this generalization is necessary whenever the criteria for membership are vague.…”