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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: Pile-type selection is a very important stage of foundation design, and there are many field factorsinfluencing the decision of pile-type selection.In 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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Intelligent Forecasting Mode and Approach of Mid and Long Term Intelligent Hydrological Forecasting

Chen Shouyu,Guo Yu,Wang Dagang

Strategic Study of CAE 2006, Volume 8, Issue 7,   Pages 30-35

Abstract:

Intelligent calculating tools such as fuzzy optimization approaches, BP neural network and geneticinterest in combing all these approaches, and then, in this paper, the author organically synthesizes fuzzyoptimal selection, BP neural network and genetic algorithm and establishes intelligent forecasting mode

Keywords： fuzzy optimal selection     BP neural network     genetic algorithm     intelligent forecasting mode     mid and long    

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Research on the optimal selection model of rockfill dam type and evaluation method

Chen Yongxing,Chang Haotian,Lu Wenyan and Ren Bingyu

Strategic Study of CAE 2013, Volume 15, Issue 4,   Pages 96-101

Abstract:

Optimal selection of dam type is a complicated decision-making problemComprehensively analyzing various factors affecting the rockfill dam type selection, a hierarchical structureIt can provide support for making decisions in optimal selection of rockfill dam type.

Keywords： rockfill dam     AHP method     Entropy method     TOPSIS method     optimal selection of dam type    

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Fuzzy Optimum Selection Dynamic Programming Methodology for Multi-objective Optimization of Multi-stage

Xiong Deqi,Yin Peihai

Strategic Study of CAE 2000, Volume 2, Issue 9,   Pages 65-69

Abstract:

Based on the concepts of the fuzzy weighted distance and membership degree, the fuzzy optimum selectionoptimization of multi-objective and multi-stage systems are developed by means of the combination of fuzzyoptimum selection theory with dynamic programming technique.

Keywords： multi-stage     multi-objective optimization     fuzzy optimum selection     dynamic programming     membership degree    

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Indirect adaptive fuzzy-regulated optimal control for unknown continuous-time nonlinear systems

Haiyun Zhang, Deyuan Meng, Jin Wang, Guodong Lu,gray_sun@zju.edu.cn,tinydreams@126.com,dwjcom@zju.edu.cn,lugd@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 2,   Pages 141-286 doi: 10.1631/FITEE.1900610

Abstract: We present a novel indirect adaptive fuzzy-regulated optimal control scheme for continuous-time nonlinearBased on this particular critic, an adaptive optimal feedback controller is developed as the actor witha new form of augmented Riccati equation to optimize the fuzzy-regulated variable performance functionresult is an online mechanism implemented as an , which involves continuous-time adaptation of both the optimalcost and the optimal control policy.

Keywords： Indirect adaptive optimal control     Hamilton-Jacobi-Bellman equation     Fuzzy-regulated critic     Adaptiveoptimal control actor     Actor-critic structure     Unknown nonlinear systems    

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Review on ranking and selection: A new perspective

L. Jeff HONG, Weiwei FAN, Jun LUO

Frontiers of Engineering Management 2021, Volume 8, Issue 3,   Pages 321-343 doi: 10.1007/s42524-021-0152-6

Abstract: In this paper, we briefly review the development of ranking and selection (R&S) in the past 70 years,

Keywords： ranking and selection     hypothesis testing     dynamic programming     simulation    

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Control mode selection for modal control of long-span arch bridge

Zhengying LI, Zhengliang LI,

Frontiers of Structural and Civil Engineering 2009, Volume 3, Issue 4,   Pages 401-406 doi: 10.1007/s11709-009-0052-z

Abstract: As for the critical mode selection, an approach based on the maximum modal displacement was presented

Keywords： selection     reduced-order     excitation     long-span     simplified    

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Dual-Dimensional Manufacturing Service Collaboration Optimization Toward Industrial Internet Platforms Article

Shibao Pang, Shunsheng Guo, Xi Vincent Wang, Lei Wanga, Lihui Wang

Engineering 2023, Volume 22, Issue 3,   Pages 34-48 doi: 10.1016/j.eng.2022.07.020

Abstract: Service selection and amount distribution to the selected services are critical issues in the modelThe algorithm embeds a competition mechanism to dynamically adjust the selection probabilities of

Keywords： Manufacturing service collaboration     Service optimal selection     Service granularity     Industrial Internet    

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Multi-objective optimization of a hybrid distributed energy system using NSGA-II algorithm

Hongbo REN, Yinlong LU, Qiong WU, Xiu YANG, Aolin ZHOU

Frontiers in Energy 2018, Volume 12, Issue 4,   Pages 518-528 doi: 10.1007/s11708-018-0594-7

Abstract: by a crowding distance operator, and the best compromised Pareto solution is determined based on the fuzzythe numerical study indicate that the NSGA-II results in more diversified Pareto solutions and the fuzzy

Keywords： multi-objective optimization     hybrid distributed energy system     non-dominated sorting generic algorithm II     fuzzyset theory     Pareto optimal solution    

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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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Supplier selection and order splitting in multiple-sourcing inventory systems

WANG Guicong, JIANG Zhaoliang, LI Zhaoqian, LIU Wenping

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 1,   Pages 23-27 doi: 10.1007/s11465-008-0016-3

Abstract: Supplier selection and inventory control are critical decision processes in single-item multiple-supplier

Keywords： automobile industry     branch-bound algorithm     selection     single-item multiple-supplier     effective    

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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: Remanufacturing, as one of the optimal disposals of end-of-life products, can bring tremendous economiccomprehensively 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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Genomic regions under selection for important traits in domestic horse breeds

Xuexue LIU, Yuehui MA, Lin JIANG

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 3,   Pages 289-294 doi: 10.15302/J-FASE-2017155

Abstract: Modern breeding using marker-assisted selection has greatly accelerated breeding progress.genetic mapping studies and genome wide analyses to identify the genomic regions targeted by positive selection

Keywords： horse     coat color     racing performance     gait     height    

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Title Author Date Type Operation

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

Intelligent Forecasting Mode and Approach of Mid and Long Term Intelligent Hydrological Forecasting

Chen Shouyu,Guo Yu,Wang Dagang

Journal Article

Research on the optimal selection model of rockfill dam type and evaluation method

Chen Yongxing,Chang Haotian,Lu Wenyan and Ren Bingyu

Journal Article

Fuzzy Optimum Selection Dynamic Programming Methodology for Multi-objective Optimization of Multi-stage

Xiong Deqi,Yin Peihai

Journal Article

Indirect adaptive fuzzy-regulated optimal control for unknown continuous-time nonlinear systems

Haiyun Zhang, Deyuan Meng, Jin Wang, Guodong Lu,gray_sun@zju.edu.cn,tinydreams@126.com,dwjcom@zju.edu.cn,lugd@zju.edu.cn

Journal Article

Review on ranking and selection: A new perspective

L. Jeff HONG, Weiwei FAN, Jun LUO

Journal Article

Control mode selection for modal control of long-span arch bridge

Zhengying LI, Zhengliang LI,

Journal Article

Dual-Dimensional Manufacturing Service Collaboration Optimization Toward Industrial Internet Platforms

Shibao Pang, Shunsheng Guo, Xi Vincent Wang, Lei Wanga, Lihui Wang

Journal Article

Multi-objective optimization of a hybrid distributed energy system using NSGA-II algorithm

Hongbo REN, Yinlong LU, Qiong WU, Xiu YANG, Aolin ZHOU

Journal Article

Incomplete Fuzzy Information System

Yang Xibei,Yang Jingyu,Wu Chen,Fu Fan

Journal Article

Supplier selection and order splitting in multiple-sourcing inventory systems

WANG Guicong, JIANG Zhaoliang, LI Zhaoqian, LIU Wenping

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

Genomic regions under selection for important traits in domestic horse breeds

Xuexue LIU, Yuehui MA, Lin JIANG

Journal Article