Two-way fuzzy adaptive identification and control of a flexible-joint robot arm

Clustering algorithm for intuitionistic fuzzy sets

“…IFS has been found to be more useful to deal with vagueness and uncertainty than fuzzy set. Over the last decades, many researchers have investigated the IFS theory and applied it to various fields, including decision making [7,10,23,25,26,35,37,44,49,50,[56][57][58][59]61], logic programming [6], medical diagnosis [14,51,55], pattern recognition [29,31,34,36,39,41,52,54,64], robotic systems [24], and fuzzy topology [1,12,33,38,46,47], etc. Atanassov and Gargov [5] further generalized IFS in the spirit of ordinary interval-valued fuzzy sets and defined the notion of interval-valued intuitionistic fuzzy set (IVIFS).…”

Intelligent control of a stepping motor drive using an adaptive neuro?fuzzy inference system

“…Indeed, Mamdani [14] was the first to report on the application of fuzzy logic to control a small laboratory steam engine. The success of this study led many scientists to attempt to control industrial processes such as chemical reactors, automatic trains, or nuclear reactors using fuzzy algorithms [7,11,12]. The results of these experiments, showed that, fuzzy controllers perform better, or at least as well as, classical controllers.…”

Interpretation of clusters in the framework of shadowed sets

“…In this section, we briefly recall the concept of shadowed sets (Pedrycz, 1999) (see also (Cattaneo and Ciucci, 2001;Gü rkan et al, 2002)) and elaborate on the main motivation behind their inception and further developments and applications. Formally speaking, a shadowed set A is a set-valued mapping coming in the following form:…”