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The purpose of the Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology is to foster advancements of knowledge and help disseminate results concerning recent applications and case studies in the areas of fuzzy logic, intelligent systems, and web-based applications among working professionals and professionals in education and research, covering a broad cross-section of technical disciplines.
The journal will publish original articles on current and potential applications, case studies, and education in intelligent systems, fuzzy systems, and web-based systems for engineering and other technical fields in science and technology. The journal focuses on the disciplines of computer science, electrical engineering, manufacturing engineering, industrial engineering, chemical engineering, mechanical engineering, civil engineering, engineering management, bioengineering, and biomedical engineering. The scope of the journal also includes developing technologies in mathematics, operations research, technology management, the hard and soft sciences, and technical, social and environmental issues.
Article Type: Research Article
Abstract: Fuzzy logic control presents a computationally efficient and robust alternative to conventional controllers for many systems. This paper presents a distributed fuzzy logic controller (FLC) structure for a flexible-link manipulator based on evaluating the importance degrees of the output variables of the system. The two velocity variables, which have higher importance degrees, are grouped together as the inputs of the Velocity FLC. The two displacement variables, which have lower importance degrees, are used as the …inputs of the Displacement FLC. The outputs of those two FLCs are summed up to control the joint of the flexible link. The fuzzy rules of the distributed importance-based FLCs are written based on the expert knowledge, and the parameters of the membership functions of the two FLCs are tuned using nonlinear programming. The distributed importance-based FLC structure is further compared with two other commonly used structures: a Linear Quadratic Regulator and a distributed PD-like FLC. The robustness of the three controllers are tested and compared under various conditions. Show more
Citation: Journal of Intelligent & Fuzzy Systems, vol. 17, no. 3, pp. 313-323, 2006
Article Type: Research Article
Abstract: Credibility distribution function is presented on the basis of credibility measure to describe fuzzy variable. Characteristic function of a fuzzy variable is defined as the Lebesgue-Stieltjes integral with respect to its credibility distribution function. In this paper, some mathematical properties of credibility distribution function are investigated. As a main result, continuity theorems of characteristic functions for fuzzy variables sequence are obtained.
Keywords: Fuzzy variable, credibility distribution, characteristic function
Citation: Journal of Intelligent & Fuzzy Systems, vol. 17, no. 3, pp. 325-332, 2006
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