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Fuzzy Information and Engineering

Publisher:
Taylor & Francis
Taylor & Francis
ISSN:
1616-8666
Scimago Journal Rank:
18
journal article
Open Access Collection
Flocking of Mobile Intelligent Agents on Fuzzy System with Optimal Theories

Yang, Hong-yong; Gu, Jian-zhong; Zong, Guang-deng; Zhang, Si-ying

2010 Fuzzy Information and Engineering

doi: 10.1007/s12543-010-0055-4

AbstractA dynamical model is presented for autonomous mobile intelligent agents. Based on the local information of the swarm, a fuzzy logical controller (FLC) is built for the attraction/repulsion function. The flocking of the separation, cohesion and alignment are achieved by combining with the rate consensus algorithm. Based on the optimal controller theories, a performance target is used to measure the states of the system. By applying the connected network from the individual local perceived information, the aggregation of the multi-agent systems can swarm following a whole consensus in the computer simulations.
journal article
Open Access Collection
Vibration Control of Active Vehicle Suspension System Using Fuzzy Logic Algorithm

Allam, Essam; Elbab, Hesham Fath; Hady, Magdy Abdel; Abouel-Seoud, Shawki

2010 Fuzzy Information and Engineering

doi: 10.1007/s12543-010-0056-3

AbstractVehicle suspension along with tires and steering linkages is designed for safe vehicle control and to be free of irritating vibrations. Therefore the suspension system designs are a compromise between ride softness and handing ability. However, this work is concerned with a theoretical investigation into the ride behavior of actively suspended vehicles. It is based on using fuzzy logic control (FLC) to implement a new sort of active suspension system. Comparisons between the behavior of active suspension system with FLC with those obtained from active systems with linear-quadratic regulator (LQR), ideal skyhook system and the conventional passive suspension systems. Results are introduced in such a way to predict the benefits that could be achieved from a fuzzy logic system over other competing systems. Furthermore, a controller is designed and made by using results of FLC system, theoretical inputs are used to examine the validity of this controller. Moreover, comparison between actual outputs from this controller with those obtained theoretically is made to judge the validity of the controller. The results indicate that the controller has a good capability in simulation of the theoretical model.
journal article
Open Access Collection
Reliability and Cost Analysis of Series System Models Using Fuzzy Parametric Geometric Programming

Mahapatra, B.S.; Mahapatra, G.S.

2010 Fuzzy Information and Engineering

doi: 10.1007/s12543-010-0058-1

AbstractIn this paper, we have discussed series system models with system reliability and cost. We have considered two types of the model; the former focuses on a problem of optimal reliability for series system with cost constraint and the latter is a center system cost model with reliability goal. It is necessary to improve the reliability of the system under limited available cost of system and also to minimize the systems cost subject to target goal of the reliability. Practically, cost of components has always been imprecise with vague in nature. So they are taken as fuzzy in nature and the reliability models are formulated as a fuzzy parametric geometric programming problem. Numerical examples are given to illustrate the model through fuzzy parametric geometric programming technique.
journal article
Open Access Collection
On Cartesian Product of (λ, μ)-Fuzzy Sublattices

Feng, Yu-ming; Zeng, Qing-song; Zou, Li-min; Zhang, Bao-jie

2010 Fuzzy Information and Engineering

doi: 10.1007/s12543-010-0059-0

AbstractWe first list some properties of (λ, μ)-fuzzy sublattices after introducing the concept of them. Then we study the Cartesian product of (λ, μ)-fuzzy sublattices. Finally, we research the Cartesian product of (λ, μ)-fuzzy sublattices of complemented lattices, obtaining some interesting results. This paper can be seen as a generalization of [1] with the points above discussed.
journal article
Open Access Collection
An Efficient Algorithm for Pawlak Reduction Based on Simplified Discernibility Matrix

Xu, Zhang-yan; Yang, Bing-ru; Qian, Wen-bin; Shu, Wen-hao

2010 Fuzzy Information and Engineering

doi: 10.1007/s12543-010-0061-6

AbstractSince the definition of attribute reduction based on classic discernibility matrix differs from that of it based on positive region, a new simplified discernibility matrix and the corresponding definition of attribute reduction were proposed. At the same time, it proves that the proposed definition is identical to its definition based on positive region. For computing simplified discernibility matrix, the indiscernibility relation, which is also called equivalence relation, should usually be calculated at first, so a new algorithm for computing equivalence relation was designed with radix sorting, whose temporal complexity is O(|C‖U|). Furthermore, an efficient attribute reduction algorithm is proposed, whose temporal complexity and spatial complexity are cut down to max(O(|C|2|U'pos‖U'|, O(|U‖C|)) and max(O(|C‖U'pos‖U'|, O(|U|)) respectively. At last, an example is used to illustrate efficiency of the new algorithms.
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