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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: Remanufacturing process planning is facing an immense challenge due to uncertainties and fuzziness ofAlthough researchers have studied the influence of uncertainties on remanufacturing process planning,Hence, this challenge in the context of uncertain, fuzzy information is undertaken in this paper, anda method for remanufacturing process planning is presented to maximize remanufacturing efficiency 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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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: gradually employed to increase the automation and intelligence degree in quality control using statistical processIn 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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Application of fuzzy analytic hierarchy process model on determination of optimized pile-type

Lei MA, Shuilong SHEN, Jinhui ZHANG, Yang HUANG, Feng SHI

Frontiers of Structural and Civil Engineering 2010, Volume 4, Issue 2,   Pages 252-257 doi: 10.1007/s11709-010-0017-2

Abstract: modern foundation construction, this study presents an efficient approach, in which analytic hierarchy processIn this study, AHP combined with fuzzy synthetic evaluation method is employed to select the type ofThe results show that fuzzy AHP approach is an easy and efficient way for pile-type selection.

Keywords： pile type     fuzzy synthetic evaluation     analytic hierarchy process (AHP)     optimal selection    

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Application of adaptive neuro-fuzzy inference system and cuckoo optimization algorithm for analyzingelectro chemical machining process

Reza TEIMOURI, Hamed SOHRABPOOR

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

Abstract:

Electrochemical machining process (ECM) is increasing its importance due to some of the specific advantagesThe process offers several special privileges such as higher machining rate, better accuracy and controlContribution of too many predominate parameters in the process, makes its prediction and selection ofvoltage and feed rate on material removal rate (MRR) and surface roughness (SR) the adaptive neuro-fuzzyThen the ANFIS 3D surfaces have been plotted for analyzing effects of process parameters on MRR and SR

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

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Comprehensive health condition assessment on partial sewers in a southern Chinese city based on fuzzy

Lili GAN, Jiane ZUO, Yajiao WANG, Thong Soon LOW, Kaijun WANG

Frontiers of Environmental Science & Engineering 2014, Volume 8, Issue 1,   Pages 144-150 doi: 10.1007/s11783-013-0554-8

Abstract: A self-developed sewer health assessment system using the fuzzy comprehensive evaluation and analyticalhierarchy process was applied to give a comprehensive health condition evaluation on part of the local

Keywords： sewer     health condition assessment     analytical hierarchy process     fuzzy comprehensive evaluation     fuzzy mathematic    

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A model for the evaluation of environmental impact indicators for a sustainable maritime transportation systems

Lizzette Pérez LESPIER, Suzanna LONG, Tom SHOBERG, Steven CORNS

Frontiers of Engineering Management 2019, Volume 6, Issue 3,   Pages 368-383 doi: 10.1007/s42524-019-0004-9

Abstract: However, this process also causes negative environmental and societal impacts.

Keywords： Environmental sustainability     maritime transportation system     environmental impact indicators     fuzzy analytichierarchy process     fuzzy TOPSIS     decision-making tool    

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Consensus-reaching methods for hesitant fuzzy multiple criteria group decision making with hesitant fuzzy Article

Jie DING, Ze-shui XU, Hu-chang LIAO

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 11,   Pages 1679-1692 doi: 10.1631/FITEE.1601546

Abstract: In this paper, we develop two methods for hesitant fuzzy multiple criteria group decision making withgroup consensus in which all the experts use hesitant fuzzy decision matrices (HFDMs) to express theirAll the experts make their own judgments on each alternative over multiple criteria by hesitant fuzzythis example, the methods which aim to reach a high consensus of all the experts before the selection processmodifying the previous preference information by using our consensus measures, the result of the selection process

Keywords： Multiple criteria group decision making     Group consensus     Consensus-reaching process     Hesitant fuzzy    

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Detection of schedule delay risk of empirical construction projects

Tsegay GEBREHIWET, Hanbin LUO

Frontiers of Engineering Management 2018, Volume 5, Issue 2,   Pages 251-267 doi: 10.15302/J-FEM-2018086

Abstract: The methodology that was followed integrated the multiple-criteria decision-making (MCDM) model of fuzzyanalytic hierarchy process comprehensive evaluation (FAHPCE) and the relative important index (RII).

Keywords： fuzzy analytic hierarchy process comprehensive evaluation     construction project     detection of delay risk    

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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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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 importantsupport for a complete decision-making process.

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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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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A Discussion on the Intelligent Control and Novel Power Sources for Arc Welding

Huang Shisheng,Xue Jiaxiang,Yu Wensong,Chen Yanming

Strategic Study of CAE 2000, Volume 2, Issue 4,   Pages 70-74

Abstract: The dynamic simulation and fuzzy logic control for arc welding inverter are analyzed.

Keywords： arc welding inverter     soft-switch     simulation of dynamic process     fuzzy control    

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Title Author Date Type Operation

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

Journal Article

Statistical process control with intelligence using fuzzy ART neural networks

Min WANG, Tao ZAN, Renyuan FEI,

Journal Article

Application of fuzzy analytic hierarchy process model on determination of optimized pile-type

Lei MA, Shuilong SHEN, Jinhui ZHANG, Yang HUANG, Feng SHI

Journal Article

Application of adaptive neuro-fuzzy inference system and cuckoo optimization algorithm for analyzingelectro chemical machining process

Reza TEIMOURI, Hamed SOHRABPOOR

Journal Article

Comprehensive health condition assessment on partial sewers in a southern Chinese city based on fuzzy

Lili GAN, Jiane ZUO, Yajiao WANG, Thong Soon LOW, Kaijun WANG

Journal Article

A model for the evaluation of environmental impact indicators for a sustainable maritime transportation systems

Lizzette Pérez LESPIER, Suzanna LONG, Tom SHOBERG, Steven CORNS

Journal Article

Consensus-reaching methods for hesitant fuzzy multiple criteria group decision making with hesitant fuzzy

Jie DING, Ze-shui XU, Hu-chang LIAO

Journal Article

Detection of schedule delay risk of empirical construction projects

Tsegay GEBREHIWET, Hanbin LUO

Journal Article

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

Izabela NIELSEN,Robert WÓJCIK,Grzegorz BOCEWICZ,Zbigniew BANASZAK

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

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

A Discussion on the Intelligent Control and Novel Power Sources for Arc Welding

Huang Shisheng,Xue Jiaxiang,Yu Wensong,Chen Yanming

Journal Article