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An Intelligent System for Navigation Collision Prevention

Hao Yanling,Liu Yuhong,Sun Feng,Sun Yao

Strategic Study of CAE 2000, Volume 2, Issue 3,   Pages 48-53

Abstract:

The purpose of this thesis is to developing and exploiting an intelligent system for collision prevention, namely “Intelligent Collision Prevention Expert System for Navigation”(NICPES). The NICPES has a multi-unit and layering Knowledge Base systematic structure and a multi-unit Knowledge Representation (KR) which based on frame KR, production rule KR, procedure KR and neural network KR, to represent and store all kinds of knowledge for navigation collision prevention. The NICPES also builds a multi-inference system, which based on analogy inference, forward illation inference, conversion inference, neural network inference and meta-rule inference, to overcome the shortcoming of unitary inference. For-some problems in collision prevention region, the NICPES builds a set of models to solve them. These models comprise the models of judging collision risk, the model of determining collision prevention time and the model of classifying encounter situation. For multi-ship encounter situation, the NICPES puts forward a tactics to choose optimal collision prevention scheme based on Analytic Hierarchy Process (AHP) and builds a mathematical model that will be used to determine the optimal angle and sailing time during ship's turning for multi and single ship encounter situation. The simulation experiments show that the NICPES can analyze and judge various sailing cases and encounter situation ,and offer a reasonable scheme, which settle the collision problem effectively and ensure the sailing safety.

Keywords： collision prevention     expert system     neural network     fuzzy technique     multi-target optimizing    

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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 approximationFurthermore, fuzzy covering on universe is proposed, three different operations on the coverings areincomplete fuzzy information system.A new method for measuring the strength of partial fuzzy knowledge dependency is proposed.

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

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An overview on the applications of the hesitant fuzzy sets in group decision-making: Theory, support

Zeshui XU, Shen ZHANG

Frontiers of Engineering Management 2019, Volume 6, Issue 2,   Pages 163-182 doi: 10.1007/s42524-019-0017-4

Abstract: Due to the characteristics of hesitant fuzzy sets (HFSs), one hesitant fuzzy element (HFE), which isIn this paper, we elaborate on hesitant fuzzy GDM from these three aspects.The first aspect is mainly about the introduction of HFSs, HFPRs and some hesitant fuzzy aggregationThe second aspect describes the consensus process under hesitant fuzzy environment, which is an importantIn the third aspect, we introduce seven hesitant fuzzy GDM approaches, which can be applied in GDM under

Keywords： hesitant fuzzy set     hesitant fuzzy preference relation     group decision-making    

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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.from applied point of view, relation between the triangle norm operators most in use and the continued fuzzyA new fuzzy synthetic evaluation criterion and method are given.The new fuzzy synthetic evaluation criterion and method have some important characteristics as follows

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

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A novel approach for remanufacturing process planning considering uncertain and fuzzy information

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 3,   Pages 546-558 doi: 10.1007/s11465-021-0639-1

Abstract: comprehensively studied the interactions among damage conditions and quality requirements that involve uncertain, fuzzyHence, this challenge in the context of uncertain, fuzzy information is undertaken in this paper, andThe solution is provided through an improved Takagi–Sugeno fuzzy neural network (T-S FNN) method.

Keywords： remanufacturing     uncertain and fuzzy information     process planning     T-S FNN    

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General modeling and optimization technique for real-world earth observation satellite scheduling

Frontiers of Engineering Management   Pages 695-709 doi: 10.1007/s42524-023-0263-3

Abstract: This study proposes a general modeling and optimization technique for common and real-world EOS schedulingIn this technique, a framework that decouples the modeling, constraints, and optimization of EOS schedulingFor simplified EOS scheduling problems, the proposed technique shows better performance in applicabilityconstrained real-world benchmark exampled by a four-EOS Chinese commercial constellation is provided, and the technique

Keywords： earth observation satellite     scheduling     general technique     optimization algorithm     commercial constellation    

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Model of Fuzzy Geometric Programming in Economical Power Supply Radius and Optimum Seeking Method

Cao Bingyuan

Strategic Study of CAE 2001, Volume 3, Issue 3,   Pages 52-55

Abstract: A fuzzy geometric programming model of power supply radius under the fuzzy environment, including problemsof soft constraints and fuzzy functions with fuzzy coefficients, is built in order to determine the

Keywords： fuzzy geometric programming     economic power supply radius     optimum seeking     transformer substations capacity    

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An interval type-2 fuzzy logic controller for TCSC to improve the damping of power system oscillations

Manoj Kumar PANDA, Gopinath PILLAI, Vijay KUMAR

Frontiers in Energy 2013, Volume 7, Issue 3,   Pages 307-316 doi: 10.1007/s11708-013-0269-3

Abstract: In this paper an interval type-2 fuzzy logic controller (IT2FLC) was proposed for thyristor controlledFor controller design, memberships of system variables were represented using interval type-2 fuzzy setsThe three-dimensional membership function of type-2 fuzzy sets provided additional degree of freedomthe proposed controller was more effective than particle swarm optimization (PSO) tuned and type-1 fuzzy

Keywords： power system oscillations     thyristor controlled series capacitor (TCSC)     type-2 fuzzy logic system     intervaltype-2 fuzzy logic controller (IT2FLC)    

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Doubly-fed induction generator drive based WECS using fuzzy logic controller

Abdelhak DIDA,Djilani BEN ATTOUS

Frontiers in Energy 2015, Volume 9, Issue 3,   Pages 272-281 doi: 10.1007/s11708-015-0363-9

Abstract: speed, constant frequency doubly-fed induction generator in the wind turbine generation system by using fuzzyAn intelligent fuzzy inference system is proposed as an alternative of the conventional proportionalFive fuzzy logic controllers are used in the rotor side converter (RSC) for maximum power point tracking(MPPT) algorithm, active and reactive power control loops, and another two fuzzy logic controllers for

Keywords： fuzzy logic     wind turbine     vector control     doubly-fed induction generator (DFIG)    

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Statistical process control with intelligence using fuzzy ART neural networks

Min WANG, Tao ZAN, Renyuan FEI,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 2,   Pages 149-156 doi: 10.1007/s11465-010-0008-y

Abstract: In this paper, an SPC method based on a fuzzy adaptive resonance theory (ART) neural network is presentedThe fuzzy ART neural network is applied to recognize the special disturbance of the manufacturing processesbased on the classification on the histograms, which shows that the fuzzy ART neural network can adaptivelythe same time, combined with spectrum analysis of the autoregressive model of quality parameters, the fuzzy

Keywords： statistical process control (SPC)     fuzzy adaptive resonance theory (ART)     histogram     control chart     time    

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Research of Constructing Technique Supporting System of Agriculture Informationization

Guo Shupu,Zhang Liping,Shen Jichang,Dong Wei

Strategic Study of CAE 2005, Volume 7, Issue 9,   Pages 89-94

Abstract:

The agriculture informationization is supported by related information technique.quickening the construction of agriculture informationization are to manage the research of the preservation techniqueof agriculture information, develop agriculture information application technique and build the network

Keywords： agriculture informationization     technique supporting system     information preservation technique     informationapplication technique     information spreading network    

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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: With the combination of fuzzy mathematical theory and classical modeling or intelligent methods, a briefsurvey on fuzzy modeling theory is also presented.

Keywords： production scheduling     fuzzy mathematics     fuzzy modeling    

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Gained switching-based fuzzy sliding mode control for a discrete-time underactuated robotic system with

Hui LI, Ruiqin LI, Jianwei ZHANG

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 2,   Pages 353-362 doi: 10.1007/s11465-020-0620-4

Abstract: performance of controlling underactuated robotic systems can be further improved by the adoption of fuzzy

Keywords： sliding-mode control     robot control     discrete-time uncertain systems     fuzzy logic    

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Application of adaptive neuro-fuzzy inference system and cuckoo optimization algorithm for analyzing

Reza TEIMOURI, Hamed SOHRABPOOR

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 4,   Pages 429-442 doi: 10.1007/s11465-013-0277-3

Abstract: voltage and feed rate on material removal rate (MRR) and surface roughness (SR) the adaptive neuro-fuzzyResults indicated that the ANFIS technique has superiority in modeling of MRR and SR with high prediction

Keywords： electrochemical machining process (ECM)     modeling     adaptive neuro-fuzzy inference system (ANFIS)     optimization    

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Understanding innovation diffusion and adoption strategies in megaproject networks through a fuzzy system

Yan ZHANG, His-Hsien WEI, Dong ZHAO, Yilong HAN, Jiayu CHEN

Frontiers of Engineering Management 2021, Volume 8, Issue 1,   Pages 32-47 doi: 10.1007/s42524-019-0082-8

Abstract: In addition, system dynamics and fuzzy systems were combined to interpret experts’ subject options as

Keywords： megaproject     innovation adoption     project network     system dynamic     fuzzy logic    

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Title Author Date Type Operation

An Intelligent System for Navigation Collision Prevention

Hao Yanling,Liu Yuhong,Sun Feng,Sun Yao

Journal Article

Incomplete Fuzzy Information System

Yang Xibei,Yang Jingyu,Wu Chen,Fu Fan

Journal Article

An overview on the applications of the hesitant fuzzy sets in group decision-making: Theory, support

Zeshui XU, Shen ZHANG

Journal Article

A Sort of Continued Fuzzy Operators and Its Application

Zhang Shiqiang

Journal Article

A novel approach for remanufacturing process planning considering uncertain and fuzzy information

Journal Article

General modeling and optimization technique for real-world earth observation satellite scheduling

Journal Article

Model of Fuzzy Geometric Programming in Economical Power Supply Radius and Optimum Seeking Method

Cao Bingyuan

Journal Article

An interval type-2 fuzzy logic controller for TCSC to improve the damping of power system oscillations

Manoj Kumar PANDA, Gopinath PILLAI, Vijay KUMAR

Journal Article

Doubly-fed induction generator drive based WECS using fuzzy logic controller

Abdelhak DIDA,Djilani BEN ATTOUS

Journal Article

Statistical process control with intelligence using fuzzy ART neural networks

Min WANG, Tao ZAN, Renyuan FEI,

Journal Article

Research of Constructing Technique Supporting System of Agriculture Informationization

Guo Shupu,Zhang Liping,Shen Jichang,Dong Wei

Journal Article

Fuzzy Modeling Theory on Production Scheduling： A Survey

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

Journal Article

Gained switching-based fuzzy sliding mode control for a discrete-time underactuated robotic system with

Hui LI, Ruiqin LI, Jianwei ZHANG

Journal Article

Application of adaptive neuro-fuzzy inference system and cuckoo optimization algorithm for analyzing

Reza TEIMOURI, Hamed SOHRABPOOR

Journal Article

Understanding innovation diffusion and adoption strategies in megaproject networks through a fuzzy system

Yan ZHANG, His-Hsien WEI, Dong ZHAO, Yilong HAN, Jiayu CHEN

Journal Article