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A consensus model for group decision making under interval type-2 fuzzy environment

Xiao-xiong ZHANG,Bing-feng GE,Yue-jin TAN

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 3,   Pages 237-249 doi: 10.1631/FITEE.1500198

Abstract: We propose a new consensus model for group decision making (GDM) problems, using an interval type-2 fuzzyIn our model, experts are asked to express their preferences using linguistic terms characterized byinterval type-2 fuzzy sets (IT2 FSs), because these can provide decision makers with greater freedomnumerical example and execute comparable models and ours, to demonstrate the performance of our proposed modelThe results indicate that the proposed model provides greater insight into the GDM process.

Keywords： Group decision making (GDM)     Interval type-2 fuzzy sets (IT2 FSs)     Feedback mechanism    

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Prediction of falling weight deflectometer parameters using hybrid model of genetic algorithm and adaptiveneuro-fuzzy inference system

Frontiers of Structural and Civil Engineering   Pages 812-826 doi: 10.1007/s11709-023-0940-7

Abstract: In this study, we developed a novel hybrid artificial intelligence model, i.e., a genetic algorithm (GA)-optimized adaptive neuro-fuzzy inference system (ANFIS-GA), to predict Y1 and Y2 based on easilyThe performance of the novel ANFIS-GA model was compared to that of other benchmark models, namely logisticThe results indicated that the ANFIS-GA model was the best at predicting Y1 (R = 0.945) and Y2Therefore, the ANFIS-GA model can be used to accurately predict Y1 and Y2 based on easily measured parameters

Keywords： falling weight deflectometer     modulus of subgrade reaction     elastic modulus     metaheuristic algorithms    

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An enhanced environmental multimedia modeling system based on fuzzy-set approach: II.Model validation and application

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 betested and validated to ensure that the model can simulate natural phenomena with reasonable and reliableIn 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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An enhanced environmental multimedia modeling system based on fuzzy-set approach: I.Theoretical framework and model development

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-set

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

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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 theFrom the model built in this paper more information can be collected and more satisfactory results can

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

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

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: Such a model will help decision-makers to achieve the goals of improved environmental sustainability.The model will also provide environmental policy-makers in the shipping industry with an analytical tool

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

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A fuzzy model for assessing the risk exposure of procuring infrastructure mega-projects through public-private

Albert P.C. CHAN, Robert OSEI-KYEI, Yi HU, Yun LE

Frontiers of Engineering Management 2018, Volume 5, Issue 1,   Pages 64-77 doi: 10.15302/J-FEM-2018067

Abstract: In this regard, this paper aims to develop a fuzzy evaluation model for assessing the suitability ofKong-Zhuhai-Macao Bridge (HZMB) is used as a case project to demonstrate the practicality of the risk evaluation modelThe risk evaluation model consists of four critical risk groupings, these include, construction and landThe model developed will enable PPP practitioners to predict the likely risk exposure of procuring infrastructure

Keywords： infrastructure mega-projects     public-private partnership     Hong Kong-Zhuhai-Macao Bridge     Hong Kong     fuzzy    

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Rule-base Self-extraction and Simplification for Fuzzy Systems

Guo Haixiang,Liu Tao,Zhu Kejun

Strategic Study of CAE 2004, Volume 6, Issue 10,   Pages 52-58

Abstract:

In this paper, a fuzzy model algorithm for a rule-base self-extraction and simplification is introducedsets by fuzzy similarity analysis method.The similar fuzzy sets are merged to create a common fuzzy set in rule base based on threshold value.Thus a fuzzy system with interpretability and simplicity is obtained.At last, the fuzzy rules of productivity factor of China is extracted by the fuzzy system.

Keywords： similarity measures     fuzzy model     fuzzy rules     fuzzy sets    

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Fuzzy force control of constrained robot manipulators based on impedance model in an unknown environment

LIU Hongyi, WANG Fei, WANG Lei

Frontiers of Mechanical Engineering 2007, Volume 2, Issue 2,   Pages 168-174 doi: 10.1007/s11465-007-0028-4

Abstract: implement the force control of robot manipulators in an unknown environment, a control strategy based on fuzzyprediction of the reference trajectory in the impedance model is developed.The experimental results show that the desired trajectory in the impedance model is predicted exactlyand rapidly in the cases that the contact surface is unknown, the contact stiffness changes, and the fuzzy

Keywords： predictive     tracking     corresponding     stiffness     algorithm    

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An uncertain energy planning model under carbon taxes

Hongkuan ZANG, Yi XU, Wei LI, Guohe HUANG, Dan LIU

Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 4,   Pages 549-558 doi: 10.1007/s11783-012-0414-y

Abstract: In this study, an interval fuzzy mixed-integer energy planning model (IFMI-EPM) is developed under consideringThe developed IFMI-EPM incorporates techniques of interval-parameter programming, fuzzy planning andmixed-integer programming within a general energy planning model.different levels of carbon tax policy, but also tackle uncertainties expressed as discrete intervals and fuzzyConsidering low, medium and high carbon tax rates, the model is applied to an ideal energy and environment

Keywords： energy     carbon tax     planning     uncertainty     fuzzy    

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Predictive Functional Control Based on Fuzzy Model for HVAC Systems

Lu Hongli,Jia Lei,Wang Lei,Gao Rui

Strategic Study of CAE 2006, Volume 8, Issue 9,   Pages 65-68

Abstract: A novel predictive functional control strategy based on Takagi-Sugeno fuzzy model was developed in orderThe T - S fuzzy model of controlled process was obtained using the least squares method, then basingon the fuzzy T - S global linear predictive model, the process was controlled by the predictive functionalFinally, the simulation results in HVAC systems control application showed that the proposed fuzzy model

Keywords： T-S fuzzy model     predictive functional control     least squares method     HVAC systems    

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Assessment of novel nature-inspired fuzzy models for predicting long contraction scouring and related

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 3,   Pages 665-681 doi: 10.1007/s11709-021-0713-0

Abstract: In this study, an adaptive neuro-fuzzy inference system is hybridized with several evolutionary approachesBased on the achieved modeling results, adaptive neuro-fuzzy inference system–biogeographic based optimization

Keywords： long contraction scour     prediction     uncertainty     ANFIS model     meta-heuristic algorithm    

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Assessment of a fuzzy logic based MRAS observer used in a photovoltaic array supplied AC drive

Bhavnesh KUMAR, Yogesh K CHAUHAN, Vivek SHRIVASTAVA

Frontiers in Energy 2014, Volume 8, Issue 1,   Pages 81-89 doi: 10.1007/s11708-014-0295-9

Abstract: In this paper a fuzzy logic (FL) based model reference adaptive system (MRAS) speed observer for higherror vector computation is made based on the rotor-flux derived from the reference and the adaptive modelThe error signal is processed in the proposed fuzzy logic controller (FLC) for speed adaptation.

Keywords： induction motor drive     fuzzy logic (FL) control     model reference adaptive system (MRAS)     photovoltaic (PV    

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A Method of Information Fusion Based on Rough Sets and Its Applications

Chen Shuangye,Zhang Weijing

Strategic Study of CAE 2006, Volume 8, Issue 12,   Pages 75-79

Abstract:

A method of multi-sensor information fusion based on rough sets and fuzzy logic is proposed in thisRough-fuzzy model can be built by obtaining general simplified rules from the large number of data usingThe concepts of expansion and perfection to the model are also presented.

Keywords： information fusion     rough sets     fuzzy logic     rough-fuzzy model    

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Title Author Date Type Operation

A consensus model for group decision making under interval type-2 fuzzy environment

Xiao-xiong ZHANG,Bing-feng GE,Yue-jin TAN

Journal Article

Prediction of falling weight deflectometer parameters using hybrid model of genetic algorithm and adaptiveneuro-fuzzy inference system

Journal Article

An enhanced environmental multimedia modeling system based on fuzzy-set approach: II.Model validation and application

Rongrong ZHANG,Chesheng ZHAN,Xiaomeng SONG,Baolin LIU

Journal Article

An enhanced environmental multimedia modeling system based on fuzzy-set approach: I.Theoretical framework and model development

Chesheng ZHAN,Rongrong ZHANG,Xiaomeng SONG,Baolin LIU

Journal Article

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

Cao Bingyuan

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

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

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

Journal Article

A fuzzy model for assessing the risk exposure of procuring infrastructure mega-projects through public-private

Albert P.C. CHAN, Robert OSEI-KYEI, Yi HU, Yun LE

Journal Article

Rule-base Self-extraction and Simplification for Fuzzy Systems

Guo Haixiang,Liu Tao,Zhu Kejun

Journal Article

Fuzzy force control of constrained robot manipulators based on impedance model in an unknown environment

LIU Hongyi, WANG Fei, WANG Lei

Journal Article

An uncertain energy planning model under carbon taxes

Hongkuan ZANG, Yi XU, Wei LI, Guohe HUANG, Dan LIU

Journal Article

Predictive Functional Control Based on Fuzzy Model for HVAC Systems

Lu Hongli,Jia Lei,Wang Lei,Gao Rui

Journal Article

Assessment of novel nature-inspired fuzzy models for predicting long contraction scouring and related

Journal Article

Assessment of a fuzzy logic based MRAS observer used in a photovoltaic array supplied AC drive

Bhavnesh KUMAR, Yogesh K CHAUHAN, Vivek SHRIVASTAVA

Journal Article

A Method of Information Fusion Based on Rough Sets and Its Applications

Chen Shuangye,Zhang Weijing

Journal Article