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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 isWe have viewed lots of relevant literature and divided the existing studies into three categories: theoryIn 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 aggregationIn 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

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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 elementvarying 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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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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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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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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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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Usability perceptions and beliefs about smart thermostats by chi-square test, signal detection theory, and fuzzy detection theory in regions of Mexico

Pedro PONCE, Therese PEFFER, Arturo MOLINA

Frontiers in Energy 2019, Volume 13, Issue 3, Pages 522-538 doi: 10.1007/s11708-018-0562-2

Abstract: This paper proposes the use of a signal detection theory (SDT), fuzzy detection theory (FDT), and chi-square

Keywords： thermostats perceptions beliefs signal detection theory (SDT) fuzzy signal detection theory (FSDT) chi-square

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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 approximationFinally, knowledge dependency in rough set theory is transformed to fuzzy knowledge dependency in theincomplete fuzzy information system.A new method for measuring the strength of partial fuzzy knowledge dependency is proposed.

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

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A New Two_dimensional Linear Discriminant Analysis Algori thmBased on Fuzzy Set Theory

Zheng Yujie,Yang Jingyu,Wu Xiaojun, Li Yongzhi

Strategic Study of CAE 2007, Volume 9, Issue 2, Pages 49-53

Abstract: In this paper,a new2DLDA algorithm,named fuzzy2DLDA,is proposed.Fuzzy k-nearest neighbour(FKNN) is implementedfirst to achieve the distribution information of original samples represented with fuzzy membership

Keywords： two-dimensional linear discriminant analysis(2DLDA) fuzzy two-dimensional linear

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Multi-objective optimization of a hybrid distributed energy system using NSGA-II algorithm

Hongbo REN, Yinlong LU, Qiong WU, Xiu YANG, Aolin ZHOU

Frontiers in Energy 2018, Volume 12, Issue 4, Pages 518-528 doi: 10.1007/s11708-018-0594-7

Abstract: optimization model, the non-dominated sorting generic algorithm II (NSGA-II) is employed to derive a setby a crowding distance operator, and the best compromised Pareto solution is determined based on the fuzzyset theory.the numerical study indicate that the NSGA-II results in more diversified Pareto solutions and the fuzzyset theory picks out a better combination of device capacities with reasonable operating strategies.

Keywords： multi-objective optimization hybrid distributed energy system non-dominated sorting generic algorithm II fuzzyset theory Pareto optimal solution

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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,FHW (fuzzy gray matter - element)，FEEC(fuzzy extension economic control) and so on.Hence the wide application of all set theory in the field of artificial intelligence including patternmethod for establishing new set theory and new logic.

Keywords： all set artificial intelligence set theory operation logic

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Statistical process control with intelligence using fuzzy ART neural networks

Min WANG, Tao ZAN, Renyuan FEI,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 2, Pages 149-156 doi: 10.1007/s11465-010-0008-y

Abstract: In this paper, an SPC method based on a fuzzy adaptive resonance theory (ART) neural network is presentedThe fuzzy ART neural network is applied to recognize the special disturbance of the manufacturing processesbased on the classification on the histograms, which shows that the fuzzy ART neural network can adaptivelythe same time, combined with spectrum analysis of the autoregressive model of quality parameters, the fuzzy

Keywords： statistical process control (SPC) fuzzy adaptive resonance theory (ART) histogram control chart time

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Fuzzy Modeling Theory on Production Scheduling： A Survey

Zhang Hong,Li qiqiang,Guo qingqiang,Zhang Peng,Gao Yuan

Strategic Study of CAE 2005, Volume 7, Issue 12, Pages 92-102

Abstract:

A brief survey on classical modeling theory of production scheduling is presented in this paper.With the combination of fuzzy mathematical theory and classical modeling or intelligent methods, a briefsurvey on fuzzy modeling theory is also presented.

Keywords： production scheduling fuzzy mathematics fuzzy modeling

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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 settheory, acquiring the renewal order with the minimal expense.

Keywords： technology innovation competence renewal rough set theory

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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 fuzzyThe 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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Title Author Date Type Operation

An overview on the applications of the hesitant fuzzy sets in group decision-making: Theory, support

Zeshui XU, Shen ZHANG

Journal Article

Reliability assessment of three-dimensional bearing capacity of shallow foundation using fuzzy set theory

Rajarshi PRAMANIK, Dilip Kumar BAIDYA, Nirjhar DHANG

Journal Article

A Method of Constructing Fuzzy Neural Network Based on Rough Set Theory

Huang Xianming,Yi Jikai

Journal Article

An enhanced environmental multimedia modeling system based on fuzzy-set approach: I.

Chesheng ZHAN,Rongrong ZHANG,Xiaomeng SONG,Baolin LIU

Journal Article

An enhanced environmental multimedia modeling system based on fuzzy-set approach: II.

Rongrong ZHANG,Chesheng ZHAN,Xiaomeng SONG,Baolin LIU

Journal Article

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

YANG Ping

Journal Article

Usability perceptions and beliefs about smart thermostats by chi-square test, signal detection theory, and fuzzy detection theory in regions of Mexico

Pedro PONCE, Therese PEFFER, Arturo MOLINA

Journal Article

Incomplete Fuzzy Information System

Yang Xibei,Yang Jingyu,Wu Chen,Fu Fan

Journal Article

A New Two_dimensional Linear Discriminant Analysis Algori thmBased on Fuzzy Set Theory

Zheng Yujie,Yang Jingyu,Wu Xiaojun, Li Yongzhi

Journal Article

Multi-objective optimization of a hybrid distributed energy system using NSGA-II algorithm

Hongbo REN, Yinlong LU, Qiong WU, Xiu YANG, Aolin ZHOU

Journal Article

All Set and Artificial Intelligence