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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: In 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 graphic

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

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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-setapproach.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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Reliability assessment of three-dimensional bearing capacity of shallow foundation using fuzzy set theory

Rajarshi PRAMANIK, Dilip Kumar BAIDYA, Nirjhar DHANG

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 2,   Pages 478-489 doi: 10.1007/s11709-021-0698-8

Abstract: of reliability theory on surface square/rectangular footing against bearing capacity failure using fuzzyset theory in conjunction with the finite element method.varying medium, where its parameters (cohesion, friction angle, unit weight, etc.) are considered as fuzzy

Keywords： finite element method     square footing     reliability analysis     fuzzy set theory     coefficient of variation     spatial    

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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.The effectiveness of the proposed approach is exemplified and elucidated by a case study.

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

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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 Method of Constructing Fuzzy Neural Network Based on Rough Set Theory

Huang Xianming,Yi Jikai

Strategic Study of CAE 2004, Volume 6, Issue 4,   Pages 44-50

Abstract:

A new method of constructing fuzzy neural network is presented and Rough set theory is applied toSince Rough set theory has strong numeric analyzing ability and fuzzy neural network has exact functionFirst, some rules are acquired from given data set by rough set theory.Then, these rules are applied to constructing neural cell numbers and relative parameters in fuzzy neural

Keywords： fuzzy neural network     rough set     acquire rule     function approaching    

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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 approximationFinally, knowledge dependency in rough set theory is transformed to fuzzy knowledge dependency in theincomplete 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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Improved approach to quality function deployment based on Pythagorean fuzzy sets and application to assembly

Huchang LIAO, Yinghan CHANG, Di WU, Xunjie GOU

Frontiers of Engineering Management 2020, Volume 7, Issue 2,   Pages 196-203 doi: 10.1007/s42524-019-0038-z

Abstract: To increase the effectiveness of QFD, we propose an improved method based on Pythagorean fuzzy sets (

Keywords： quality function deployment     Pythagorean fuzzy sets     group consensus     combined weights     assembly robot design    

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A robot fuzzy motion planning approach in unknown environments

FU Yi-li, JIN Bao, LI Han, WANG Shu-guo

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 3,   Pages 336-340 doi: 10.1007/s11465-006-0033-z

Abstract: A fuzzy robot motion planning approach is proposed in unknown environments for three-degree industrialThe proposed planning system is composed of several separate fuzzy units, which control individuallyEffectiveness of the proposed approach is verified through simulation.

Keywords： manipulator     repelling influence     manipulator configuration     three-degree industrial     simulation    

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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 fuzzyThe aim of the paper is to present a constraint propagation (CP) driven approach to multi-robot taskallocation providing a prompt service to a set of routine queries stated in both direct and reverse way

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

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An integrated optimization and simulation approach for air pollution control under uncertainty in open-pit

Zunaira Asif, Zhi Chen

Frontiers of Environmental Science & Engineering 2019, Volume 13, Issue 5, doi: 10.1007/s11783-019-1156-x

Abstract: This paper establishes a stochastic approach to conceptualize the air pollution control model to attainFurthermore, an integrated fuzzy based risk assessment approach is applied to examine uncertainties andThe risk level is divided into three types (loose, medium and strict) using a triangular fuzzy membershipapproach based on different environmental guidelines.Fuzzy logic is then used to identify environmental risk through stochastic simulated cumulative distribution

Keywords： Air pollution     Decision analysis     Linear programming     Mining     Optimization     Fuzzy     Monte Carlo    

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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,whichBy adjusting a nonlinear offset factor in the fuzzy logic modulator,the control performance and requirementOn those criterions, the proposed algorithm, namely fuzzy bandwidth management (FBM) , and traditional

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

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An integrated approach to site-specific management zone delineation

Yuxin MIAO, David J. MULLA, Pierre C. ROBERT

Frontiers of Agricultural Science and Engineering 2018, Volume 5, Issue 4,   Pages 432-441 doi: 10.15302/J-FASE-2018230

Abstract: Dividing fields into a few relatively homogeneous management zones (MZ) is a practical and cost-effective approachThe objective of this study is to propose an integrated approach to delineating site-specific MZ usingIt was found that in general the ROSE approach was least effective in accounting for crop yield variability(8.0%–9.8%), while the CMYYM approach was least effective in accounting for soil and landscapeIt was also found that the ROSE-YSTTS approach was effective in defining zones with high, medium and

Keywords： economically optimum nitrogen rate     fuzzy cluster analysis     precision nitrogen management     site-specific    

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A New Two_dimensional Linear Discriminant Analysis Algori thmBased on Fuzzy Set Theory

Zheng Yujie,Yang Jingyu,Wu Xiaojun, Li Yongzhi

Strategic Study of CAE 2007, Volume 9, Issue 2,   Pages 49-53

Abstract: In this paper,a new2DLDA algorithm,named fuzzy2DLDA,is proposed.Fuzzy k-nearest neighbour(FKNN) is implementedfirst to achieve the distribution information of original samples represented with fuzzy membership

Keywords： two-dimensional linear discriminant analysis(2DLDA)     fuzzy two-dimensional linear    

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Level set band method: A combination of density-based and level set methods for the topology optimization

Peng WEI, Wenwen WANG, Yang YANG, Michael Yu WANG

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 3,   Pages 390-405 doi: 10.1007/s11465-020-0588-0

Abstract: The level set method (LSM), which is transplanted from the computer graphics field, has been successfullyIn this study, a level set band method is proposed to overcome this drawback in handling topology changesin the level set framework.the continuity of objective and constraint functions by incorporating one parameter, namely, level setThe proposed method demonstrates a flexible topology change by applying a certain size of the level set

Keywords： level set method     topology optimization     density-based method     level set band    

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Title Author Date Type Operation

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

Chesheng ZHAN,Rongrong ZHANG,Xiaomeng SONG,Baolin LIU

Journal Article

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

Rongrong ZHANG,Chesheng ZHAN,Xiaomeng SONG,Baolin LIU

Journal Article

Reliability assessment of three-dimensional bearing capacity of shallow foundation using fuzzy set theory

Rajarshi PRAMANIK, Dilip Kumar BAIDYA, Nirjhar DHANG

Journal Article

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

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 Method of Constructing Fuzzy Neural Network Based on Rough Set Theory

Huang Xianming,Yi Jikai

Journal Article

Incomplete Fuzzy Information System

Yang Xibei,Yang Jingyu,Wu Chen,Fu Fan

Journal Article

Improved approach to quality function deployment based on Pythagorean fuzzy sets and application to assembly

Huchang LIAO, Yinghan CHANG, Di WU, Xunjie GOU

Journal Article

A robot fuzzy motion planning approach in unknown environments

FU Yi-li, JIN Bao, LI Han, WANG Shu-guo

Journal Article

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

Izabela NIELSEN,Robert WÓJCIK,Grzegorz BOCEWICZ,Zbigniew BANASZAK

Journal Article

An integrated optimization and simulation approach for air pollution control under uncertainty in open-pit

Zunaira Asif, Zhi Chen

Journal Article

An approach to bandwidth management based on fuzzy logic

Li Zuxin,Wang Wanliang,Lei Bicheng,Chen Huiying

Journal Article

An integrated approach to site-specific management zone delineation

Yuxin MIAO, David J. MULLA, Pierre C. ROBERT

Journal Article

A New Two_dimensional Linear Discriminant Analysis Algori thmBased on Fuzzy Set Theory

Zheng Yujie,Yang Jingyu,Wu Xiaojun, Li Yongzhi

Journal Article

Level set band method: A combination of density-based and level set methods for the topology optimization

Peng WEI, Wenwen WANG, Yang YANG, Michael Yu WANG

Journal Article