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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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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: presented for dealing with uncertain and imprecise problems, based on the difference between fuzzy sets and roughanalysis, to make a decision table specified,and then to simplify the decision table by means of the rough

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 functionFirst, some rules are acquired from given data set by rough set theory.

Keywords： fuzzy neural network rough set acquire rule function approaching

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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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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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The City Intelligence Quotient (City IQ) Evaluation System: Conception and Evaluation Review

Zhiqiang Wu,Yunhe Pan,Qiming Ye,Lingyu Kong

Engineering 2016, Volume 2, Issue 2, Pages 196-211 doi: 10.1016/J.ENG.2016.02.009

Abstract: From this base, the fundamentals of the City Intelligence Quotient (City IQ) Evaluation System are developed

Keywords： iCity Evaluation system Open data Intelligent city-being Intelligence quotient

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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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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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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.

Keywords： inherent distribution maturation evolution diversity antibody

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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 rough

Keywords： technology innovation competence renewal rough set theory

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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 dataA 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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Five-axis rough machining for impellers

Ruolong QI, Weijun LIU, Hongyou BIAN, Lun LI

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 1, Pages 71-76 doi: 10.1007/s11465-009-0010-4

Abstract: Rough machining is recognized as the most crucial procedure influencing machining efficiency and is criticalAn integrated rough machining course with detailed algorithms is presented in this paper.

Keywords： five-axis impeller tool-path planning flank milling ruled surface

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Boundedness of Marcinkiewicz integralwith rough kernel onTriebel-Lizorkin spaces

Chun-jie ZHANG,Fang-fang REN,Yu-huai ZHANG,Gui-lian GAO

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 8, Pages 654-657 doi: 10.1631/FITEE.1500082

Abstract: This paper is a continuation of our previous work (Zhang and Chen, 2010b). Following the same general steps of the proof there, we make essential improvement on our previous theorem by recalculating a key inequality. Our result shows that the Marcinkiewicz integral, with a bounded radial function in its kernel, is still bounded on the Triebel-Lizorkin space.

Keywords： Marcinkiewicz integral Triebel-Lizorkin spaces

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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 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 the

Keywords： incomplete fuzzy information system fuzzy compatible relation fuzzy rough set fuzzy covering fuzzy rough