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The Synthetic Assessment for Systematic Safety Based on Vag ue Sets

Liu Aihua,Shi Shiliang,Wuchao

Strategic Study of CAE 2007, Volume 9, Issue 3, Pages 58-61

Abstract: Fuzzy synthetic assessment can only solve ambiguousness problem from front, but Vague sets haveFrom this, this paper suggests that Vague sets be used in the synthetic assessment, then determines theindex with improved AHP, and establishes the synthetic assessment model for systematic safety based on Vaguesets.

Keywords： systematic safety Vague sets synthetic assessment the weight

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Application of Vague Sets and Vague Graphics in ITS Logistic

Zhang Ran,Liu Yang,Xie Yanqing,Zhang Jiang,He Zhongxiong

Strategic Study of CAE 2004, Volume 6, Issue 8, Pages 57-63

Abstract:

This paper presents the basic concept of Vague sets and their operation based on fuzzy set theory.The Vague clustering method, Vague multi-criterion decision-making, Vague graphics and their applicationsAt last an example of Vague sets in logistic alterative selection according to the positive and negative

Keywords： intelligent logistic artificial intelligence Vague set Vague chart application in ITS logistic

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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 setsand rough sets theories.analysis, to make a decision table specified,and then to simplify the decision table by means of the rough sets

Keywords： fuzzy clustering rough sets decision table decision rule

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Improved approach to quality function deployment based on Pythagorean fuzzy sets and application to assembly

Huchang LIAO, Yinghan CHANG, Di WU, Xunjie GOU

Frontiers of Engineering Management 2020, Volume 7, Issue 2, Pages 196-203 doi: 10.1007/s42524-019-0038-z

Abstract: To increase the effectiveness of QFD, we propose an improved method based on Pythagorean fuzzy sets (

Keywords： quality function deployment Pythagorean fuzzy sets group consensus combined weights assembly robot design

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Noise control technology for generator sets in enclosures

ZHANG Nailong, YANG Wentong, FEI Renyuan

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 4, Pages 377-384 doi: 10.1007/s11465-008-0051-0

Abstract: The health and life of human beings are affected by loud noise from high power generator sets.

Keywords： equipment generator sound-attenuated enclosure convenient Enclosure development

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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 thismodel can be built by obtaining general simplified rules from the large number of data using rough sets

Keywords： information fusion rough sets fuzzy logic rough-fuzzy model

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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: topology, knowledge representation and inductive learning of an intelligent expert system on rough sets

Keywords： rough sets intelligent expert system indiscernibility relation knowledge expression simplification decision

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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 datasets, and eliminate redundant or insignificant attributes in data sets so that to reduce the complexity

Keywords： fuzzy sets rough sets neural networks pattern classification

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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 is

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

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Vibration Fault Diagnosis for Large Scale Steam Turbine Sets

Yu Wenhu,Song bin

Strategic Study of CAE 2001, Volume 3, Issue 1, Pages 44-50

Abstract: System of performance and vibration remote monitoring and diagnosis for large-scale steam turbine sets

Keywords： steam turbine sets fault diagnosis vibration performance diagnosis

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for redesigning sustainable cropping systems: the value of data-mining large and detailed farm data sets

Nicolas MUNIER-JOLAIN, Martin LECHENET

Frontiers of Agricultural Science and Engineering 2020, Volume 7, Issue 1, Pages 21-27 doi: 10.15302/J-FASE-2019292

Abstract: Large data sets collected from real farms allow for the development of innovative methods to produceand their effect on farm performance, we advocate further investment in the development of large data sets

Keywords： data mining holistic Integrated Pest Management economics DEPHY network.

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Simulation of heterogeneous two-phase media using random fields and level sets

George STEFANOU

Frontiers of Structural and Civil Engineering 2015, Volume 9, Issue 2, Pages 114-120 doi: 10.1007/s11709-014-0267-5

Abstract: The case of random level sets, often used to represent the geometry of physical systems, is also examined

Keywords： microstructure random fields level sets shape recovery two-phase media

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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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New Standards Release Sets Stage for 5G Future

Erika K. Carlson

Engineering 2021, Volume 7, Issue 3, Pages 275-276 doi: 10.1016/j.eng.2021.01.003

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Multi-focus image fusion based on fractional-order derivative and intuitionistic fuzzy sets Research Articles

Xue-feng Zhang, Hui Yan, Hao He,zhangxuefeng@mail.neu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 6, Pages 809-962 doi: 10.1631/FITEE.1900737

Abstract: Multi-focus is an increasingly important component in , and it plays a key role in imaging. In this paper, we put forward a novel multi-focus method which employs and . The original image is decomposed into a base layer and a detail layer. Furthermore, a new fractional-order spatial frequency is built to reflect the clarity of the image. The fractional-order spatial frequency is used as a rule for detail layers fusion, and are introduced to fuse base layers. Experimental results demonstrate that the proposed fusion method outperforms the state-of-the-art methods for multi-focus .

Keywords：像融合；分数阶导数；直觉模糊集；多聚焦图像

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Title Author Date Type Operation

The Synthetic Assessment for Systematic Safety Based on Vag ue Sets

Liu Aihua,Shi Shiliang,Wuchao

Journal Article

Application of Vague Sets and Vague Graphics in ITS Logistic

Zhang Ran,Liu Yang,Xie Yanqing,Zhang Jiang,He Zhongxiong

Journal Article

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

Luo Dang

Journal Article