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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 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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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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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 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 roughsets theory.

Keywords： fuzzy clustering rough sets decision table decision rule

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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 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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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 settheory.propose a framework for attribute reduction in interval-valued data from the viewpoint of information theorySome information theory concepts, including entropy, conditional entropy, and joint entropy, are givenBased on these concepts, we provide an information theory view for attribute reduction in interval-valued

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

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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

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Smart optical-fiber structure monitoring based on granular computing

Guan LU, Dakai LIANG,

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 4, Pages 462-465 doi: 10.1007/s11465-009-0073-2

Abstract: Using an optic fiber self-diagnosing system in health monitoring has become an important direction of smart materials and structure research. The buried optic fiber sensor can be used to test the parameters of the composite material. The granular computing method can reach the requirement of damage detection by analyzing digital signals and character signals of the smart structure at the same time. The paper investigates an optic fiber smart layer and presents a method for realizing optic fiber smart structure monitoring and damage detection by using granular computing. After the analysis, it is presumed that optic fiber smart structure monitoring based on granular computation can identify the damage from complex signals.

Keywords： smart material and structure GrC optical fiber sensor rough set clustering algorithm

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All Set and Artificial Intelligence

Zhang Jiang,Lin Hua,He Zhongxiong

Strategic Study of CAE 2002, Volume 4, Issue 3, Pages 40-47

Abstract:

This paper presents a brand new set theory, All Set theory, which is the united set form of the currentset theories including crisp set, fuzzy set, extension set, vague set, rough set, set pair analysis,Hence the wide application of all set theory in the field of artificial intelligence including patternThe theory of all set can not only unify and summarize the current theories but also provide the primarymethod for establishing new set theory and new logic.

Keywords： all set artificial intelligence set theory operation logic

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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: The aim of this study is to investigate the applicability of reliability theory on surface square/rectangularfooting against bearing capacity failure using fuzzy set theory in conjunction with the finite element

Keywords： finite element method square footing reliability analysis fuzzy set theory coefficient of variation spatial

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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: We have viewed lots of relevant literature and divided the existing studies into three categories: theory

Keywords： hesitant fuzzy set hesitant fuzzy preference relation group decision-making

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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