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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:

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 briefsurvey on fuzzy modeling theory is also presented.

Keywords： production scheduling     fuzzy mathematics     fuzzy modeling    

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An enhanced environmental multimedia modeling system based on fuzzy-set approach: I.

Chesheng ZHAN,Rongrong ZHANG,Xiaomeng SONG,Baolin LIU

Frontiers of Environmental Science & Engineering 2015, Volume 9, Issue 3,   Pages 494-505 doi: 10.1007/s11783-013-0609-x

Abstract: Multimedia environmental modeling is extremely complex due to the intricacy of the systems with the considerationIn this study, a new user-friendly fuzzy-set enhanced environmental multimedia modeling system (FEEMMSprevious EMMs have been achieved through dynamically quantifying the intermedia mass flux; incorporating fuzzy-setapproach into environmental multimedia modeling system (EMMS); and designing a user-friendly graphicby contaminants released from a contaminated site; and quantifying the uncertainties associated with modeling

Keywords： environmental multimedia modelling     fuzzy-set approach     theoretical framework     environmental protection    

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A complete modeling and simulation of DFIG based wind turbine system using fuzzy logic control

Abdelhak DIDA,Djilani BENATTOUS

Frontiers in Energy 2016, Volume 10, Issue 2,   Pages 143-154 doi: 10.1007/s11708-016-0402-1

Abstract: A fuzzy inference system (FIS) is adopted as an alternative of the conventional proportional and integral

Keywords： WTGS)     doubly-fed induction generator (DFIG)     maximum power point tracking (MPPT)     vector control (VC)     fuzzy    

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An enhanced environmental multimedia modeling system based on fuzzy-set approach: II.

Rongrong ZHANG,Chesheng ZHAN,Xiaomeng SONG,Baolin LIU

Frontiers of Environmental Science & Engineering 2015, Volume 9, Issue 6,   Pages 1025-1035 doi: 10.1007/s11783-014-0655-z

Abstract: Part I of this study develops an enhanced environmental multimedia modeling system (EMMS) based on fuzzy-setOnce the model development is complete, the composite module and the entire modeling system need to beThe modules of EMMS could support the entire environmental multimedia modeling system.Most of the modeling yields closely match the monitoring data collected from sites.In addition, with the aid of fuzzy-set approach, EMMS can be a reliable and powerful tool to address

Keywords： environmental multimedia modelling system     fuzzy-set approach     application     model validation     uncertainty    

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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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Multimodal processes optimization subject to fuzzy operation time constraints: declarative modeling approach

Izabela NIELSEN,Robert WÓJCIK,Grzegorz BOCEWICZ,Zbigniew BANASZAK

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 4,   Pages 338-347 doi: 10.1631/FITEE.1500359

Abstract: processes scheduling treated in terms of optimization of the AGVs fleet scheduling problem subject to fuzzy

Keywords： Automated guided vehicles (AGVs)     Scheduling     Multimodal process     Fuzzy constraints     Optimization    

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Fuzzy Programming Based Modeling of Production Scheduling of Batch Processes

Zhang Hong,Li Chiqiang

Strategic Study of CAE 2004, Volume 6, Issue 10,   Pages 65-70

Abstract: method based on fuzzy programming for batching production processes and offers a modeling method withfuzzy coefficients.Two fuzzy algorithms based on genetic algorithm, i. e. , fuzzy simulation and SFA algorithm, are adoptedto solve the fuzzy model.Finally, a numerical example demonstrates that the modeling method is valid.

Keywords： production scheduling     fuzzy programming     batching production processes     membership function    

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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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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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Title Author Date Type Operation

Fuzzy Modeling Theory on Production Scheduling： A Survey

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

Journal Article

An enhanced environmental multimedia modeling system based on fuzzy-set approach: I.

Chesheng ZHAN,Rongrong ZHANG,Xiaomeng SONG,Baolin LIU

Journal Article

A complete modeling and simulation of DFIG based wind turbine system using fuzzy logic control

Abdelhak DIDA,Djilani BENATTOUS

Journal Article

An enhanced environmental multimedia modeling system based on fuzzy-set approach: II.

Rongrong ZHANG,Chesheng ZHAN,Xiaomeng SONG,Baolin LIU

Journal Article

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

Reza TEIMOURI, Hamed SOHRABPOOR

Journal Article

Multimodal processes optimization subject to fuzzy operation time constraints: declarative modeling approach

Izabela NIELSEN,Robert WÓJCIK,Grzegorz BOCEWICZ,Zbigniew BANASZAK

Journal Article

Fuzzy Programming Based Modeling of Production Scheduling of Batch Processes

Zhang Hong,Li Chiqiang

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

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