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Journal of Intelligent & Fuzzy Systems - Volume 28, issue 1

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Price: EUR 315.00
ISSN 1064-1246 (P)
ISSN 1875-8967 (E)

Impact Factor 2024: 1.7

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.

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Join-meet preserving maps and Alexandrov fuzzy topologies

Authors: Kim, Yong Chan

Article Type: Research Article

Abstract: In this paper, we investigate the properties of join-meet preserving maps in complete residuated lattices. We define join-meet approximation operators as a generalization of fuzzy rough sets in complete residuated lattices. Moreover, we investigate the relations between join-meet preserving maps and Alexandrov fuzzy topologies. We give their examples.

Keywords: Join-meet preserving maps, join-meet approximation operators, fuzzy preorders, complete residuated lattices, Alexandrov fuzzy topologies

DOI: 10.3233/IFS-141322

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 457-467, 2015

Price: EUR 27.50

Approaches to comprehensive evaluation with 2-tuple linguistic information

Authors: Zhang, Zhihui | Wei, Fajie | Zhou, Shenghan

Article Type: Research Article

Abstract: The paper investigates the comprehensive evaluation problems with 2-tuple linguistic information. The study develops 2-tuple linguistic Maclaurin symmetric mean (2TLMSM) operator by improving Maclaurin symmetric mean (MSM) operator. The paper studies its properties and discusses its special cases. For the situations where the input arguments have different importance, the 2-tuple linguistic weighted Maclaurin symmetric mean (2TLWMSM) operator is defined based on the procedure which is developed for comprehensive evaluation problems under the 2-tuple linguistic environments. Finally, a practical example for evaluating the financial management performance is given to verify the developed approach and to demonstrate its practicality and effectiveness.

Keywords: Comprehensive evaluation, linguistic information, Maclaurin symmetric mean (MSM) operator, 2-tuple linguistic Maclaurin symmetric mean (2TLMSM) operator, 2-tuple linguistic weighted Maclaurin symmetric mean (2TLWMSM) operator

DOI: 10.3233/IFS-141323

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 469-475, 2015

Price: EUR 27.50

Optimal phasor measurement units placement to maintain network observability using a novel binary particle swarm optimization and fuzzy system

Authors: Abiri, Ebrahim | Rashidi, Farzan

Article Type: Research Article

Abstract: This paper presents a hybrid modified binary particle swarm optimization and fuzzy system for obtaining the optimal number of PMUs which makes the power system completely observable. Observability assessment is done by means of topological observability rules. Moreover a new rule is employed which can decrease the number of required PMUs for full network observability. In all of the investigations, the effect of zero-injection buses in the power system is considered. Developed PMU placement method is illustrated using IEEE standard systems to demonstrate the effectiveness of the proposed algorithm. The results show that the whole system can be observable with … Show more

Keywords: Phasor measurement units (PMUs), state estimation, binary linear programming, binary particle swarm optimization, fuzzy systems, power system observability

DOI: 10.3233/IFS-141324

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 477-483, 2015

Price: EUR 27.50

Model reference adaptive fuzzy control of a shunt active power filter

Authors: Ma, Kaiqi | Fei, Juntao

Article Type: Research Article

Abstract: In this paper, model reference adaptive fuzzy control (MRAFC) is proposed to improve the power dynamic performance such as current tracking and total harmonic distortion (THD) for a shunt active power filter (APF). T-S fuzzy strategy is utilized on the approximation of nonlinear model of APF caused by nonlinear characteristics, variable parameters and external disturbances. Adaptive fuzzy control of the APF system consists of T-S fuzzy control item and sliding mode control item, which can enhance the robust performance of the system. Simulation results confirm the effectiveness of the proposed controller and comparisons with APF system using model reference adaptive … Show more

Keywords: MRAFC, T-S fuzzy, approximation, current control, APF

DOI: 10.3233/IFS-141325

Citation: Journal of Intelligent & Fuzzy Systems, vol. 28, no. 1, pp. 485-494, 2015

Price: EUR 27.50
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