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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 usingrough sets theory and methods of computing reduces.The 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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A Decision-making Method Based on Fuzzy Sets and Rough Sets Theory

Luo Dang

Strategic Study of CAE 2004, Volume 6, Issue 12,   Pages 32-36

Abstract:

In this paper, a combined decision-making model is presented for dealing with uncertain and impreciseproblems, based on the difference between fuzzy sets and rough sets theories.The model is firstly to classify the uncertain examples given using fuzzy clustering analysis, to makea decision table specified,and then to simplify the decision table by means of the rough sets theory

Keywords： fuzzy clustering     rough sets     decision table     decision rule    

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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 functionapproaching ability, their combination can produce a neural network model with good intelligibilityFirst, 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 approximationBesides, with the two new definitions of fuzzy rough entropies, uncertain factors could be effectivelyFinally, knowledge dependency in rough set theory is transformed to fuzzy knowledge dependency in theincomplete fuzzy information system.

Keywords： incomplete fuzzy information system     fuzzy compatible relation     fuzzy rough set     fuzzy covering     fuzzy roughentropy     fuzzy knowledge dependency    

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A Rough Fuzzy Neural Classifier

Zeng Huanglin,Wang Xiao

Strategic Study of CAE 2003, Volume 5, Issue 12,   Pages 60-65

Abstract:

In this paper, the concepts of rough sets are used to define equivalence classes encoding input dataIn order to deal with ill-defined or real experimental data, an input object is represented as a fuzzyvariable by fuzzy membership function, and the significant factor of the input feature correspondingto output pattern classification is incorporated to constitute a fuzzy inference so that to enhanceA new kind of rough fuzzy neural classifier and a learning algorithm with LSE are proposed in this paper

Keywords： fuzzy sets     rough sets     neural networks     pattern classification    

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A Fuzzy Neural Network Based on Rough Sets and Its Applications to Chemical Fiber Production

Chen Shuangye,Yi Jikai

Strategic Study of CAE 2001, Volume 3, Issue 12,   Pages 42-46

Abstract:

A fuzzy neural network based on rough sets is presented in this paper.First, a set of rough rules are found from the given training data by using rough sets theory, then thestructure and model are designed according these rules, and then the model is trained by neural network

Keywords： rough sets     fuzzy logic     neural network     rules extracted    

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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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Approximation Space of Generalization and Rough Classification Algebra

Liu Yonghong

Strategic Study of CAE 2006, Volume 8, Issue 3,   Pages 39-48

Abstract: new basic concepts are proposed in this paper, including the approximation space of generalization, roughapproximation axiom, disturbance set axiom, classification principle of rough set, principle of nondeterministicclassification, bit quantum symmetric classification, incomparable set, bit space set, protocol relation, roughset function of protocol relation, rough classification algebra, rough simple algebra, etc. , and aBased on the protocol relation, the rough quotient algebra and the rough subalgebra are constructed.

Keywords： approximation space of generalization     rough set     rough classification algebra     protocol relation     roughsimple algebra     rough quotient algebra     rough subalgebra    

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Data mining diagnosis system based on rough set theory for boilers in thermal power plants

YANG Ping

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 2,   Pages 162-167 doi: 10.1007/s11465-006-0017-z

Abstract: A reduction algorithm based on rough set theory is designed to find minimum reducts from all discrete
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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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An Intelligent Expert System on Rough Sets

Zeng Huanglin

Strategic Study of CAE 2001, Volume 3, Issue 2,   Pages 47-51

Abstract: basic topology, knowledge representation and inductive learning of an intelligent expert system on rough

Keywords： rough sets     intelligent expert system     indiscernibility relation     knowledge expression simplification     decision    

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Title Author Date Type Operation

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

Chen Shuangye,Zhang Weijing

Journal Article

A Decision-making Method Based on Fuzzy Sets and Rough Sets Theory

Luo Dang

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

A Rough Fuzzy Neural Classifier

Zeng Huanglin,Wang Xiao

Journal Article

A Fuzzy Neural Network Based on Rough Sets and Its Applications to Chemical Fiber Production

Chen Shuangye,Yi Jikai

Journal Article

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

Approximation Space of Generalization and Rough Classification Algebra

Liu Yonghong

Journal Article

Data mining diagnosis system based on rough set theory for boilers in thermal power plants

YANG Ping

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

An Intelligent Expert System on Rough Sets

Zeng Huanglin

Journal Article