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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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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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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 isIn 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 aggregationThe second aspect describes the consensus process under hesitant fuzzy environment, which is an importantIn 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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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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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 complexityIn 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 enhance

Keywords： fuzzy sets     rough sets     neural networks     pattern classification    

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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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A consensus model for group decision making under interval type-2 fuzzy environment

Xiao-xiong ZHANG,Bing-feng GE,Yue-jin TAN

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 3,   Pages 237-249 doi: 10.1631/FITEE.1500198

Abstract: We propose a new consensus model for group decision making (GDM) problems, using an interval type-2 fuzzyexperts are asked to express their preferences using linguistic terms characterized by interval type-2 fuzzysets (IT2 FSs), because these can provide decision makers with greater freedom to express the vagueness

Keywords： Group decision making (GDM)     Interval type-2 fuzzy sets (IT2 FSs)     Feedback mechanism    

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Rule-base Self-extraction and Simplification for Fuzzy Systems

Guo Haixiang,Liu Tao,Zhu Kejun

Strategic Study of CAE 2004, Volume 6, Issue 10,   Pages 52-58

Abstract:

In this paper, a fuzzy model algorithm for a rule-base self-extraction and simplification is introducedsets by fuzzy similarity analysis method.The similar fuzzy sets are merged to create a common fuzzy set in rule base based on threshold value.Thus a fuzzy system with interpretability and simplicity is obtained.At last, the fuzzy rules of productivity factor of China is extracted by the fuzzy system.

Keywords： similarity measures     fuzzy model     fuzzy rules     fuzzy sets    

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Pattern Recognition With Fuzzy Central Clustering Algorithms

Zen Huanglin,Yuan Hui,Liu Xiaofang

Strategic Study of CAE 2004, Volume 6, Issue 11,   Pages 33-37

Abstract: >Based on optimization of constrained nonlinear programming, an approach of clustering center and a fuzzyAn unsupervised algorithm with recursive expression and a fuzzy central cluster neural network are suggestedThe fuzzy central cluster neural network proposed here can realize crisp decision or fuzzy decision in

Keywords： fuzzy sets     central cluster     pattern recognition     neural network    

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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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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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Derivation and analysis on the analytical structure of interval type-2 fuzzy controller with two nonlinearfuzzy sets for each input variable Project supported by the Xinjiang Astronomical Observatory Article

Bin-bin LEI,Xue-chao DUAN,Hong BAO,Qian XU

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 6,   Pages 587-602 doi: 10.1631/FITEE.1601019

Abstract: Type-2 fuzzy controllers have been mostly viewed as black-box function generators.Revealing the analytical structure of any type-2 fuzzy controller is important as it will deepen ourunderstanding of how and why a type-2 fuzzy controller functions and lay a foundation for more rigorousthat uses the following identical elements: two nonlinear interval type-2 input fuzzy sets for each variable, four interval type-2 singleton output fuzzy sets, a Zadeh AND operator, and the Karnik-Mendel type

Keywords： Interval type-2 fuzzy controller     Analytical structure     Karnik-Mendel type reducer    

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A decision-making method about the design quality of component-based active load section entity model for protective engineering

Yuan Hui,Wang Fengshan,Xu Jiheng,Fu Chengqun

Strategic Study of CAE 2013, Volume 15, Issue 5,   Pages 106-112

Abstract: component-based protective engineering entity model, the positive and negative ideal intuitionistic fuzzy

Keywords： protective engineering     component     design quality     entity model     intuitionistic fuzzy sets     superiority    

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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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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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Title Author Date Type Operation

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

Huchang LIAO, Yinghan CHANG, Di WU, Xunjie GOU

Journal Article

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

Luo Dang

Journal Article

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

Zeshui XU, Shen ZHANG

Journal Article

A Method of Information Fusion Based on Rough Sets and Its Applications

Chen Shuangye,Zhang Weijing

Journal Article

A Rough Fuzzy Neural Classifier

Zeng Huanglin,Wang Xiao

Journal Article

A Fuzzy Neural Network Based on Rough Sets and Its Applications to Chemical Fiber Production

Chen Shuangye,Yi Jikai

Journal Article

A consensus model for group decision making under interval type-2 fuzzy environment

Xiao-xiong ZHANG,Bing-feng GE,Yue-jin TAN

Journal Article

Rule-base Self-extraction and Simplification for Fuzzy Systems

Guo Haixiang,Liu Tao,Zhu Kejun

Journal Article

Pattern Recognition With Fuzzy Central Clustering Algorithms

Zen Huanglin,Yuan Hui,Liu Xiaofang

Journal Article

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

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

Journal Article

Noise control technology for generator sets in enclosures

ZHANG Nailong, YANG Wentong, FEI Renyuan

Journal Article

Derivation and analysis on the analytical structure of interval type-2 fuzzy controller with two nonlinearfuzzy sets for each input variable Project supported by the Xinjiang Astronomical Observatory

Bin-bin LEI,Xue-chao DUAN,Hong BAO,Qian XU

Journal Article

A decision-making method about the design quality of component-based active load section entity model for protective engineering

Yuan Hui,Wang Fengshan,Xu Jiheng,Fu Chengqun

Journal Article

An Intelligent Expert System on Rough Sets

Zeng Huanglin

Journal Article

Vibration Fault Diagnosis for Large Scale Steam Turbine Sets

Yu Wenhu,Song bin

Journal Article