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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 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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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: system, a focusing quantization algorithm is proposed to discretize all variables in the preparation setA reduction algorithm based on rough set theory is designed to find minimum reducts from all discretevariables in the preparation set to represent diagnosis rules succinctly.

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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: model is presented for dealing with uncertain and imprecise problems, based on the difference between fuzzysets 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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The research on structural damage identification using rough set and integrated neural network

Juelong LI, Hairui LI, Jianchun XING, Qiliang YANG

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 3, Pages 305-310 doi: 10.1007/s11465-013-0259-5

Abstract: To efficiently solve this problem, a new damage identification method based on rough set and integratedIn brief, rough set was used to reduce attributes so as to decrease spatial dimensions of data and extract

Keywords： rough set integrated neural network damage identification decision making fusion

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Reduction of rough set attribute based on immune clone selection

LIANG Lin, XU Guang-hua

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 4, Pages 413-417 doi: 10.1007/s11465-006-0049-4

Abstract: A novel attribute reduction approach of rough set based on immune clone selection is proposed.In this method, the approximation quality and attribute set were adopted as evolution object and antibody

Keywords： inherent distribution maturation evolution diversity antibody

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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.

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

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Enterprise technology innovation competence renewal method based on rough set

Miao Chenglin,Feng Junwen

Strategic Study of CAE 2011, Volume 13, Issue 9, Pages 109-112

Abstract: studied enterprise technology innovation competence renewal method under the new requests based on roughset theory, acquiring the renewal order with the minimal expense.

Keywords： technology innovation competence renewal rough set theory

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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: approximation axiom, disturbance set axiom, classification principle of rough set, principle of nondeterministiceven set, principle of concentration, game classification, quantum logic classification, bit quantumsymmetric classification, incomparable set, bit space set, protocol relation, rough set function ofprotocol relation, rough classification algebra, rough simple algebra, etc. , and a guess is also proposedBased 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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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 Method for Financial Crisis Predicting Based On Rough Neural Network

Liu Bingxiang,Sheng Zhaohan

Strategic Study of CAE 2002, Volume 4, Issue 8, Pages 58-62

Abstract: The structure and the fundamental principle of the rough neural network are discussed.The paper designs a method for enterprise financial crisis predicting based on rough neural network.The research work supplies a basis for further study of applying rough neural network for enterprise

Keywords： financial crisis index system rough set neural network predicting

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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-set

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

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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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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-setIn 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 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