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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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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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Application of a Novel Fuzzy Clustering Method Based on Chaos Immune Evolutionary Algorithm for EdgeDetection in Image Processing

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 1,   Pages 85-89 doi: 10.1007/s11465-005-0023-6

Abstract:

A novel fuzzy clustering method based on chaos immune evolutionary algorithm (CIEFCM) is presentedto solve fuzzy edge detection problems in image processing.The experimental results show that the method not only can correctly detect the fuzzy edge and exiguousedge but can evidently improve the searching efficiency of fuzzy clustering algorithm based on IEA.

Keywords： disturbance amplitude     disturbance     diversity     generation     processing    

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Extended stochastic resonance (SR) and its applications in weak mechanical signal processing

Niaoqing HU, Min CHEN, Guojun QIN, Lurui XIA, Zhongyin PAN, Zhanhui FENG,

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 4,   Pages 450-461 doi: 10.1007/s11465-009-0072-3

Abstract: early as possible, one of the most important strategies is to apply more progressive techniques during signalThis paper presents a method based on stochastic resonance (SR) to detect weak fault signal.

Keywords： extended stochastic resonance (SR)     stability analysis of SR     scale transform     weak signal detection     incipientfault detection     envelope analysis    

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Digital image correlation-based structural state detection through deep learning

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 1,   Pages 45-56 doi: 10.1007/s11709-021-0777-x

Abstract: CNN can extract the structural state information from the vibration signals and classify them; 2) the detection

Keywords： structural state detection     deep learning     digital image correlation     vibration signal     steel frame    

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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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Detection of schedule delay risk of empirical construction projects

Tsegay GEBREHIWET, Hanbin LUO

Frontiers of Engineering Management 2018, Volume 5, Issue 2,   Pages 251-267 doi: 10.15302/J-FEM-2018086

Abstract: The methodology that was followed integrated the multiple-criteria decision-making (MCDM) model of fuzzy

Keywords： fuzzy analytic hierarchy process comprehensive evaluation     construction project     detection of delay risk    

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Application of Uncertainty Reasoning Theory to Satellite Fault Detection and Diagnosis

Yang Tianshe,Li Huaizu,Cao Yuping

Strategic Study of CAE 2003, Volume 5, Issue 2,   Pages 68-74

Abstract:

Generally, reasoning theory can be divided into certainty reasoning theory and uncertainty reasoningtheory.The reason is that detection and diagnosis of these faults requires reasonable reasoning and fault-tolerantset theory, evidence reasoning theory, probabilistic reasoning theory, fuzzy reasoning theory, and so, rough set theory and evidence reasoning theory of the uncertainty reasoning theory are used respectively

Keywords： satellite     fault     detection     diagnosis     uncertainty reasoning 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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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 block zero-padding method based on DCFT for L1 parameter estimations in weak signal and high dynamic

Chao WU,Lu-ping XU,Hua ZHANG,Wen-bo ZHAO

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 9,   Pages 796-804 doi: 10.1631/FITEE.1500058

Abstract: Weak L1 signal acquisition in a high dynamic environment primarily faces a challenge: the integrationzero-padding method based on a discrete chirp-Fourier transform (DCFT) for parameter estimations in weak signalIn this way, the post-correlation signal is coherently post-integrated with the bit sequence strippedIn addition, the detection performance of the proposed method is analyzed.method can precisely detect the high dynamic parameters in lower SNR when the length of the received signal

Keywords： Threshold detection     Discrete chirp-Fourier transform     Block zero-padding     High dynamic     Weak L1 signal    

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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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Fuzzy Gray Matter-element Space Theory and Practical Application and Development——The Policy Decision

Xie Yanqing,Zhang Jiang,Guo Qiang,Lin Hua

Strategic Study of CAE 2002, Volume 4, Issue 11,   Pages 57-66

Abstract:

The fuzzy gray matter-element space theory (FHW) , founded in 1980s by Professor He Zhongxiong, isJ methods together and synthesizes several theories including fuzzy mathematics, gray system and metterelementThe soft science decision supporting system on the basis of the FHW theory has achieved a lot in theimprovement by the integration of other subjects such as artificial intelligence, complex system and set theoryThis paper briefly introduces the FHW theory system, practical application and development in the recent

Keywords： complex system     fuzzy gray matter-element space theory (FHW)     soft science decision supporting system     practical    

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Signal promoting role of a p-type transition metal dichalcogenide used for the detection of ultra-trace

Abdolhamid Hatefi-Mehrjardi, Amirkhosro Beheshti-Marnani, Zarrin Es'haghi

Frontiers of Chemical Science and Engineering 2019, Volume 13, Issue 4,   Pages 823-831 doi: 10.1007/s11705-019-1797-0

Abstract: glassy carbon electrode for the fabrication of a simple, stable, and repeatable methylene blue-labeled “signal-offSubsequently, a wide linear range of DCF concentration (0.5–300 nmol/L), very low limit of detection

Keywords： labeled aptasensor     transition metal dichalcogenide     graphene oxide     sodium diclofenac    

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Title Author Date Type Operation

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

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

Zeshui XU, Shen ZHANG

Journal Article

Application of a Novel Fuzzy Clustering Method Based on Chaos Immune Evolutionary Algorithm for EdgeDetection in Image Processing

Journal Article

Extended stochastic resonance (SR) and its applications in weak mechanical signal processing

Niaoqing HU, Min CHEN, Guojun QIN, Lurui XIA, Zhongyin PAN, Zhanhui FENG,

Journal Article

Digital image correlation-based structural state detection through deep learning

Journal Article

Statistical process control with intelligence using fuzzy ART neural networks

Min WANG, Tao ZAN, Renyuan FEI,

Journal Article

Fuzzy Modeling Theory on Production Scheduling： A Survey

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

Journal Article

Detection of schedule delay risk of empirical construction projects

Tsegay GEBREHIWET, Hanbin LUO

Journal Article

Application of Uncertainty Reasoning Theory to Satellite Fault Detection and Diagnosis

Yang Tianshe,Li Huaizu,Cao Yuping

Journal Article

A Decision-making Method Based on Fuzzy Sets and Rough Sets Theory

Luo Dang

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 block zero-padding method based on DCFT for L1 parameter estimations in weak signal and high dynamic

Chao WU,Lu-ping XU,Hua ZHANG,Wen-bo ZHAO

Journal Article

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

Huang Xianming,Yi Jikai

Journal Article

Fuzzy Gray Matter-element Space Theory and Practical Application and Development——The Policy Decision

Xie Yanqing,Zhang Jiang,Guo Qiang,Lin Hua

Journal Article

Signal promoting role of a p-type transition metal dichalcogenide used for the detection of ultra-trace

Abdolhamid Hatefi-Mehrjardi, Amirkhosro Beheshti-Marnani, Zarrin Es'haghi

Journal Article