Search | Engineering

Subscribe Submit

Home Journals Focus Achievement Fronts About Us 中文版

Resource Type

Journal Article 110

Year

2023 3

2022 5

2021 6

2020 4

2019 6

2018 4

2017 8

2016 7

2015 1

2014 2

2013 4

2011 1

2010 3

2009 1

2008 6

2007 8

2006 7

2005 8

2004 7

2003 5

open ︾

Keywords

fuzzy control 3

fuzzy sets 3

neural network 3

Reversible logic 2

Semi-tensor product 2

fuzzy comprehensive evaluation 2

fuzzy neural network 2

pattern recognition 2

performance evaluation 2

rough sets 2

simulation 2

temperature control 2

AFHW model 1

ANP 1

ARM 1

Actor-critic structure 1

Adaptive fuzzy integral sliding mode control 1

Adaptive network fuzzy inference system 1

Adaptive optimal control actor 1

open ︾

Search scope:

排序： Display mode:

A Method of Information Fusion Based on Rough Sets and Its Applications

Chen Shuangye,Zhang Weijing

Strategic Study of CAE 2006, Volume 8, Issue 12, Pages 75-79

Abstract:

A method of multi-sensor information fusion based on rough sets and fuzzy logic is proposed in this paper. Rough-fuzzy model can be built by obtaining general simplified rules from the large number of data using rough sets theory and methods of computing reduces. The concepts of expansion and perfection to the model are also presented. Finally the simulations and experiments of pulse vacuum disinfection control system are carried out using this method, the research results show the method is effective and feasible.

Keywords： information fusion rough sets fuzzy logic rough-fuzzy model

HTML PDF Collect

Interval type-2 fuzzy logic based radar task priority assignment method for detecting hypersonic-glide vehicles Research Articles

Fanqing MENG, Kangsheng TIAN,maoximengruizhi@126.com,tiankangsheng@sohu.com

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 3, Pages 488-501 doi: 10.1631/FITEE.2000560

Abstract: A radar task method based on was designed to solve the problem of resource management for to detect hypersonic-glide vehicles (HGVs). The mathematical model of the radar task and the motion and detection models of HGVs are described in detail. The target threat of an HGV is divided into maneuver, speed, azimuth, and distance threats. In the radar task method based on IT2FLS, the maneuver factor, speed, azimuth difference, distance, and initial priority are input variables. The radar task priority is the output variable. To reduce the number of fuzzy rules and avoid rule explosion, an IT2FLS with a hierarchical structure was designed. Finally, the feasibility of the task method was verified by simulations. Simulation results showed that the method based on IT2FLS has a higher precise tracking rate, mean initial priority, and target threat degree, and a shorter offset time.

Keywords： Hypersonic-glide vehicle (HGV) Phased-array radar Interval type-2 fuzzy logic system (IT2FLS) Priority assignment

HTML PDF Collect

An approach to bandwidth management based on fuzzy logic

Li Zuxin,Wang Wanliang,Lei Bicheng,Chen Huiying

Strategic Study of CAE 2008, Volume 10, Issue 7, Pages 104-111

Abstract:

In networked control systems(NCSs),a fuzzy logic modulator,which is based on mapping relationship of one-dimensional input and one-dimensional output,is designed for the dynamic management of control systems' bandwidth. By adjusting a nonlinear offset factor in the fuzzy logic modulator,the control performance and requirement of bandwidth can be further improved.Moreover,the upper and lower bound of the assignable bandwidth,which guarantee the system's stability,are evaluated in terms of linear matrix inequalities and the restrained resource conditions.Finally, normalizable criterions of the quality of control (QoC) and requirement of bandwidth (RoB) are also defined,which can estimate the performance of the whole networked control systems. On those criterions, the proposed algorithm, namely fuzzy bandwidth management (FBM) , and traditional fixed bandwidth allocation (FBA) are compared. The results of simulation highlight that the proposed algorithm can significantly improve performance and save more bandwidth of control loop than the other one.

Keywords： fuzzy bandwidth management networked control systems quality of control requirement ofbandwidth

HTML PDF Collect

A fuzzy integrated congestion-aware routing algorithm for network on chip Research Articles

Shahrouz Yasrebi, Akram Reza, Mohammad Nikravan, Seena Vazifedan,a.reza@qodsiau.ac.ir,a.ak.reza@gmail.com

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 5, Pages 615-766 doi: 10.1631/FITEE.2000069

Abstract: (NoC) is an infrastructure providing a communication platform to multiprocessor chips. Furthermore, the wormhole-switching method, which shares resources, was used to increase its efficiency; however, this can lead to congestion. Moreover, dealing with this congestion consumes more energy and correspondingly leads to increase in power consumption. Furthermore, consuming more power results in more heat and increases thermal fluctuations that lessen the life span of the infrastructures and, more importantly, the network’s performance. Given these complications, providing a method that controls congestion is a significant design challenge. In this paper, a is presented to enhance the NoC’s performance when facing congestion. To avoid congestion, the proposed algorithm employs the occupied input buffer and the total occupied buffers of the neighboring nodes along with the maximum possible path diversity with minimal path length from instant neighbors to the destination as the selection parameters. To enhance the path selection function, the uncertainty of the algorithm is used. As a result, the average delay, power consumption, and maximum delay are reduced by 14.88%, 7.98%, and 19.39%, respectively. Additionally, the proposed method enhances the throughput and the total number of packets received by 14.9% and 11.59%, respectively. To show the significance, the proposed algorithm is examined using transpose traffic patterns, and the average delay is improved by 15.3%. The average delay is reduced by 3.8% in TMPEG-4 (treble MPEG-4), 36.6% in QPIP (quadruplicate PIP), and 20.9% in TVOPD (treble VOPD).

Keywords：片上网络；路由算法；拥塞控制；模糊逻辑

HTML PDF Collect

A Fuzzy Neural Network Based on Rough Sets and Its Applications to Chemical Fiber Production

Chen Shuangye,Yi Jikai

Strategic Study of CAE 2001, Volume 3, Issue 12, Pages 42-46

Abstract:

A fuzzy neural network based on rough sets is presented in this paper. First, a set of rough rules are found from the given training data by using rough sets theory, then the structure and model are designed according these rules, and then the model is trained by neural network technique. The experiments that simulate the control process of side-wind for chemical fiber are carried out. The results proved its efficiency and feasibility.

Keywords： rough sets fuzzy logic neural network rules extracted

HTML PDF Collect

Application of direct adaptive fuzzy slidingmode control into a class of non-affine discrete nonlinear systems Article

Xiao-yu ZHANG

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 12, Pages 1331-1343 doi: 10.1631/FITEE.1500318

Abstract: Direct adaptive fuzzy sliding mode control design for discrete non-affine nonlinear systems is presented for trajectory tracking problems with disturbance. To obtain adaptiveness and eliminate chattering of sliding mode control, a dynamic fuzzy logical system is used to implement an equivalent control, in which the parameters are self-tuned online. Stability of the sliding mode control is validated using the Lyapunov analysis theory. The overall system is adaptive, asymptotically stable, and chattering-free. A numerical simulation and an application to a robotic arm with two degrees of freedom further verify the good performance of the control design.

Keywords： Nonlinear system Discrete system Dynamic fuzzy logical system Direct adaptive Sliding mode control

HTML PDF Collect

Indeterminacy Causal Inductive Automatic Reasoning Mechanism Based On Fuzzy State Describing

Yang Bingru,Tang Jing

Strategic Study of CAE 2000, Volume 2, Issue 5, Pages 44-50

Abstract:

New framework of knowledge representation of fuzzy language field and fuzzy language value structure is shown in this paper. Then the generalized cell automation that can synthetically process fuzzy indeterminacy and random indeterminacy and the generalized inductive logic causal model are brought forward. On this basis, the new logic indeterminate causal inductive automatic reasoning mechanism which is based on fuzzy state describing is brought forward. At the end of this paper its application in the development of intelligent controller is discussed.

Keywords： language field language value structure generalized cell automation generalized inductive logic causal model automatic reasoning intelligent controller

HTML PDF Collect

A dynamic signal coordination control method for urban arterial roads and its application Article

Guo-jiang SHEN,Yong-yao YANG

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 9, Pages 907-918 doi: 10.1631/FITEE.1500227

Abstract: We propose a novel dynamic traffic signal coordination method that takes account of the special traffic flow characteristics of urban arterial roads. The core of this method includes a control area division module and a signal coordination control module. Firstly, we analyze and model the influences of segment distance, traffic flow density, and signal cycle time on the correlation degree between two neighboring intersections. Then, we propose a fuzzy computing method to estimate the correlation degree based on a hierarchical structure and a method to divide the control area of urban arterial roads into subareas based on correlation degrees. Subarea coordination control arithmetic is used to calculate the public cycle time of the control subarea, up-run offset and down-run offset of the section, and the split of each intersection. An application of the method in Shaoxing City, Zhejiang Province, China shows that the method can reduce the average travel time and the average stop rate effectively.

Keywords： Urban arterial Control subarea Coordination control Correlation degree Fuzzy logic Intelligent transportation

HTML PDF Collect

Incomplete Fuzzy Information System

Yang Xibei,Yang Jingyu,Wu Chen,Fu Fan

Strategic Study of CAE 2006, Volume 8, Issue 7, Pages 47-53

Abstract:

In this paper, incomplete fuzzy information system is studied. In order to deal with it by rough set theory, fuzzy compatible relation and fuzzy rough approximation are defined by logic function. Furthermore, fuzzy covering on universe is proposed, three different operations on the coverings are formed and then some significant results are gained. Besides, with the two new definitions of fuzzy rough entropies, uncertain factors could be effectively measured, some important relationships between the varieties of uncertain factors and the strength of those entropies are discussed carefully. Finally, knowledge dependency in rough set theory is transformed to fuzzy knowledge dependency in the incomplete fuzzy information system. A new method for measuring the strength of partial fuzzy knowledge dependency is proposed. Some immediate theorems are proved.

Keywords： incomplete fuzzy information system fuzzy compatible relation fuzzy rough set fuzzy covering fuzzy rough entropy fuzzy knowledge dependency

HTML PDF Collect

A Sort of Continued Fuzzy Operators and Its Application

Zhang Shiqiang

Strategic Study of CAE 2003, Volume 5, Issue 9, Pages 27-31

Abstract:

A sort of continued fuzzy operators is given. Proceeded from applied point of view, relation between the triangle norm operators most in use and the continued fuzzy operators is analyzed. A new fuzzy synthetic evaluation criterion and method are given. The new fuzzy synthetic evaluation criterion and method have some important characteristics as follows： using directly untransformed data; avoiding loss of original information; avoiding increase in interference information; bing very easy to tell which result is better in different papers.

Keywords： fuzzy mathematics fuzzy synthetic evaluation triangle norm operator continued fuzzy operators

HTML PDF Collect

Rule-base Self-extraction and Simplification for Fuzzy Systems

Guo Haixiang,Liu Tao,Zhu Kejun

Strategic Study of CAE 2004, Volume 6, Issue 10, Pages 52-58

Abstract:

In this paper, a fuzzy model algorithm for a rule-base self-extraction and simplification is introduced. The method consistes of three steps: The first step is to classify the out-in space by constructing a fuzzy partition validity index, then the optimal number of dusters and, hence, the optimal number of rules are obtained; The second step is to construct the initial fuzzy system based on the optimal number of rules and neural networks; The third step is to get the function of computing similarity of fuzzy sets by fuzzy similarity analysis method. The similar fuzzy sets are merged to create a common fuzzy set in rule base based on threshold value. Thus a fuzzy system with interpretability and simplicity is obtained. At last, the fuzzy rules of productivity factor of China is extracted by the fuzzy system.

HTML PDF Collect

Fuzzy Modeling Theory on Production Scheduling： A Survey

Zhang Hong,Li qiqiang,Guo qingqiang,Zhang Peng,Gao Yuan

Strategic Study of CAE 2005, Volume 7, Issue 12, Pages 92-102

Abstract:

A brief survey on classical modeling theory of production scheduling is presented in this paper. With the combination of fuzzy mathematical theory and classical modeling or intelligent methods, a brief survey on fuzzy modeling theory is also presented. Some perspective viewpoints are pointed out in the last section of the paper.

Keywords： production scheduling fuzzy mathematics fuzzy modeling

HTML PDF Collect

Approximating Characteristics of Fuzzy Systems With Arbitrary Membership Function

Zhang Zhao,Pei Yanling,Zheng Aihong

Strategic Study of CAE 2005, Volume 7, Issue 8, Pages 47-50

Abstract:

While quadrilateral membership function is used as general membership function, Stone-Weierstrass theorem is utilized to prove that fuzzy systems with arbitrary membership functions are capable of approximating any continuous function on a compact set. It is a generalization for theory of basic fuzzy systems approximating any continuous non-linear function. The performance of fuzzy systems to approximate random non-linear function is the theoretical basis of fuzzy system's application in system identification.

Keywords： fuzzy system membership function approximation

HTML PDF Collect

The Strict Avalanche Criterion of Order k Spectral Properties of m-Valued Logical Functions

Guojinhui,LiShiqu

Strategic Study of CAE 2005, Volume 7, Issue 12, Pages 45-48

Abstract:

Many cryptographic properties of m - valued logical functions are often described by their Chrestenson cyclic spectrums and auto-correlation functions, so Chrestenson cyclic spectrums and autocorrelation functions play important roles in properties and construct ions for m-valued logical functions. In this paper, in residue class ring Z_m, the concept of the strict avalanche criterion of order k of m-valued logical functions is presented. Then, by applying probabilistic thought and methods, the rule that a w-valued logical function fulfills the SAC of lower order if it fulfills the SAC of higher order is proved. Finally, by Chrestenson cyclic spectrums, a necessary and sufficient condition on a m-valued logical function is given, which fulfills the strict avalanche criterion of order k.

Keywords： m-valued logical function Chrestenson cyclic spectrum auto-correlation function the strict avalanche criterion

HTML PDF Collect

Fuzzy Rank Methodology for Risk Assessment of Environmental Pollution Accidents

Xiong Deqi,Chen Gang,Li Qiong

Strategic Study of CAE 2001, Volume 3, Issue 8, Pages 46-50

Abstract:

Based on the fact that risk assessment of environmental pollution accidents among factories is a multi-criteria and multi-stage process, and is of relativity and fuzziness, the fuzzy rank theory is developed and applied to solve such ranking problems by means of the fuzzy weighted distance, membership degree and the extensive Minimum Square Criterion. Furthermore, the methodology is applied to assess the risk of potential pollution accidents among four important chemical factories in Dalian, and the results are more reasonable than those obtained by the Index Method.

Keywords： pollution accidents risk fuzzy assessment rank