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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 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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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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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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Application of entropy-based fuzzy matter-element analysis in seepage monitoring of RCC dam

Chongshi GU, Zhijun ZHANG, Xin CAI, Yue HOU

Frontiers of Structural and Civil Engineering 2011, Volume 5, Issue 1, Pages 105-111 doi: 10.1007/s11709-010-0015-4

Abstract: Taking account of the fuzzy results of the seepage monitoring analysis of roller compacted concrete (RCC) dam and uncertainties of the individual indicator evaluation, the fuzzy matter-element model ofseepage monitoring of RCC dam analysis has been established with the use of the fuzzy matter-elementThe use of entropy theory can calculate the weighting factor through the disorder utility values of theAnd further the example shows that the analysis of entropy-based fuzzy matter-element analysis model

Keywords： information entropy fuzzy matter-element roller compacted concrete (RCC) dam seepage analysis

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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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Analytic Method to a Kind of Grey Fuzzy Decision Making Based on Entropy

Luo Dang,Liu Siwei

Strategic Study of CAE 2004, Volume 6, Issue 10, Pages 48-51

Abstract:

Based on grey system theory and fuzzy theory, uncertain decision making problems and several relativearticles were studied, then points out the advantage and shortage of them when dealing with grey fuzzyIn this paper, using optimization theory and the maximum entropy formulism, a method for multi-attributegroup decision making based on the theory of grey fuzzy relation is established.

Keywords： grey fuzzy relation entropy multi-attribute decision making

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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 the

Keywords： rough sets fuzzy logic neural network rules extracted

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Principle of maximum entropy for reliability analysis in the design of machine components

Yimin ZHANG

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 1, Pages 21-32 doi: 10.1007/s11465-018-0512-z

Abstract: components with parameters that follow an arbitrary statistical distribution using the principle of maximum entropyPDF) and a failure probability model for the parameters of mechanical components using the concept of entropy

Keywords： machine components reliability arbitrary distribution parameter principle of maximum entropy

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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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Attribute reduction in interval-valued information systems based on information entropies Article

Jian-hua DAI,Hu HU,Guo-jie ZHENG,Qing-hua HU,Hui-feng HAN,Hong SHI

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 9, Pages 919-928 doi: 10.1631/FITEE.1500447

Abstract: Dealing with interval-valued information systems is helpful to generalize the applications of rough setSome information theory concepts, including entropy, conditional entropy, and joint entropy, are given

Keywords： Rough set theory Interval-valued data Attribute reduction Entropy

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High-order phase-field model with the local and second-order max-entropy approximants

Fatemeh AMIRI

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 2, Pages 406-416 doi: 10.1007/s11709-018-0475-5

Abstract: approximate the fracture surface energy functional based on phase-field method with smooth local maximum entropy(LME) and second-order maximum entropy (SME) approximants.

Keywords： second-order maximum entropy local maximum entropy second- and fourth-order phase-field models B-spline

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Maximum entropy based finite element analysis of porous media

Emad NOROUZI, Hesam MOSLEMZADEH, Soheil MOHAMMADI

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 2, Pages 364-379 doi: 10.1007/s11709-018-0470-x

Abstract: The maximum entropy theory has been used in a wide variety of physical, mathematical and engineeringIn this paper, the maximum entropy theory is adopted to spatially discretize the deformation variable

Keywords： maximum entropy FEM fully coupled multi-phase system porous media