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Analytic Method to a Kind of Grey Fuzzy Decision Making Based on Entropy

Luo Dang,Liu Siwei

Strategic Study of CAE 2004, Volume 6, Issue 10,   Pages 48-51

Abstract:

Based on grey system theory and fuzzy theory, uncertain decision making problems and several relativearticles were studied, then points out the advantage and shortage of them when dealing with grey fuzzymaximum entropy formulism, a method for multi-attribute group decision making based on the theory of greyfuzzy relation is established.

Keywords： grey fuzzy relation     entropy     multi-attribute decision making    

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Study on the Optimization of Public Traffic Line Network Based on Grey Fuzzy Numbers and Its Application

Deng Wei,Hu Qizhou

Strategic Study of CAE 2007, Volume 9, Issue 11,   Pages 21-25

Abstract: nbsp;the decision-making method for the optimization of urban public traffic line network is set up by greytheory and fuzzy theory. This paper proposes to use interval numbers of three parameters to present grey fuzzy numbers.

Keywords： public traffic line network     optimization     grey fuzzy numbers    

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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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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 approximationFurthermore, fuzzy covering on universe is proposed, three different operations on the coverings areincomplete 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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An Axiomatic Definition of Degree of Greyness of Grey Number

Liu Sifeng,Li Yi

Strategic Study of CAE 2004, Volume 6, Issue 8,   Pages 91-94

Abstract:

In this paper, an axiomatic system for the definition of degree of greyness of grey number is builtbased on discussion with two definitions of degree of greyness of grey number which have been put forwardTaking axioms as the criterion for definition of degree of grayness of grey number, a new formula fordefinition of degree of grayness of grey number has been formed with measure of the right range of greynumber and the background or field which is brought about by the grey number.

Keywords： grey systems     degree of greyness of grey number     measure     axiomatic definition    

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Description and reasoning of integrated topological and directional relation of bodies in 3D space

Liu Xin,Li Chengming and Liu Wenbao

Strategic Study of CAE 2013, Volume 15, Issue 5,   Pages 8-13

Abstract: According to definition of integrated topological and direction relation, the qualitative reasoning of

Keywords： spatial relation     topological relation     direction relation     integrated topological and direction relation    

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Entity and relation extraction with rule-guided dictionary as domain knowledge

Frontiers of Engineering Management   Pages 610-622 doi: 10.1007/s42524-022-0226-0

Abstract: Entity and relation extraction is an indispensable part of domain knowledge graph construction, whichThe existing entity and relation extraction methods that depend on pretrained models have shown promisingRelation extraction is based on the hypothesis that the relations hidden in sentences are unified, therebyship relation datasets is improved by +1%, +6%, +2%, and +1%, respectively.In addition, the extraction accuracy of entity relation triplet reaches 83% and 76% on laser industry

Keywords： entity extraction     relation extraction     prior knowledge     domain rule    

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Multi-objective optimization of cutting parameters in high-speed milling based on grey relational analysis

Tao FU, Jibin ZHAO, Weijun LIU

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 4,   Pages 445-452 doi: 10.1007/s11465-012-0338-z

Abstract: In this study, the optimum cutting parameters are obtained by the grey relational analysis.The results of experiments show that grey relational analysis coupled with principal component analysis

Keywords： high-speed milling     grey relational analysis     principal component analysis     parameters optimization    

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Study on the Multi-attribute Decision Model of Grey Target Based on Interval Number

Dang Yaoguo,Liu Sifeng,Liu Bin

Strategic Study of CAE 2005, Volume 7, Issue 8,   Pages 31-35

Abstract: interval number to denote this index value, but none has studied the interval number decision model in greyBased on the above, the multi-attribute decision model of grey target based on interval number is derived, which extends the grey target decision model from real number sequence to interval number sequenceand richens the grey theories in grey target decision.

Keywords： interval number     grey target decision     model     application    

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Application of grey-taguchi method for optimization of dry sliding wear properties of aluminum MMCs

Rajesh SIRIYALA, Gopala Krishna ALLURU, Rama Murthy Raju PENMETSA, Muthukannan DURAISELVAM

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 3,   Pages 279-287 doi: 10.1007/s11465-012-0329-0

Abstract: Initially, the optimization of the dry sliding performance of the SiC-reinforced MMCs was performed using greyBased on the GRA, the optimum level parameters for overall grey relational grade in terms of WVL andAnalysis of variance was performed to determine the effect of individual factors on the overall grey

Keywords： aluminum     ANOVA (analysis of variance)     grey relational analysis     metal matrix composites     SiC particulates    

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Study on Improvement of Token and Arithmetic of Interval Grey Numbers and Its GM(1,1) Model

Fang Zhigeng,Liu Sifeng,Lu Fang,Wan Jun,Liu Bin

Strategic Study of CAE 2005, Volume 7, Issue 2,   Pages 57-61

Abstract:

Aimed at the severe problems in tokens and computations of grey numbers, which expanded unnecessarilyand distorted the information heavily, this paper defined the standard interval grey number and thefirst and the second standard grey number, and analyzed their relationship.Furthermore, it designed the transformation rule from general grey number to the standard interval greynumber, and developed the operation principle of the standard interval grey number to solve preferably

Keywords： interval grey number     standard interval grey number     token     GM(1     1) model     computation rules    

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Macrozoobenthic assemblages in relation to environments of the Yangtze-isolated lakes

Baozhu PAN, Haijun WANG, Hongzhu WANG, Zhaoyin WANG

Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 2,   Pages 246-254 doi: 10.1007/s11783-011-0381-8

Abstract: Eutrophication can shift lakes from a clear, macrophyte-dominated state to a turbid, algae-dominated state, and different habitat condition supports different fauna. Macrozoobenthos are good indicators of water environment, and studies on macrozoobenthic assemblage characteristics can help us to know which state a lake is in, thus provide the basis for its eutrophication control. In this study, a systematic investigation on macrozoobenthos was conducted in 17 Yangtze-isolated lakes to explore the macroecological laws of macrozoobenthic assemblages. Detrended correspondence analysis (DCA) revealed that variance of benthic assemblage structure occurred in two types of lakes. In macrophytic lakes, altogether 51?taxa of macrozoobenthos were identified. The average density and biomass of total macrozoobenthos were 2231?individuals·m and 1.69 g dry weight·m , respectively. Macrozoobenthic assemblage was characterized by dominance of scrapers (i.e. gastropods). In algal lakes, altogether 20 taxa of macrozoobenthos were identified. The average density and biomass of total macrozoobenthos were 2814 individuals·m and 1.38 g dry weight·m , respectively. Macrozoobenthic assemblage was characterized by dominance of collector-gatherers (i.e. oligochaetes). Wet biomass of submersed macrophytes ( ) and phytoplankton chlorophyll concentration ( ) were demonstrated as the key factor structuring macrozoobenthic assemblages in macrophytic and algal lakes, respectively.

Keywords： macrozoobenthos     assemblage characteristics     environment analyses     macrophytic lake     algal lake    

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An optimized grey wolf optimizer based on a mutation operator and eliminating-reconstructing mechanism Article

Xiao-qing ZHANG, Zheng-feng MING

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 11,   Pages 1705-1719 doi: 10.1631/FITEE.1601555

Abstract: Due to its simplicity and ease of use, the standard grey wolf optimizer (GWO) is attracting much attention

Keywords： Swarm intelligence     Grey wolf optimizer     Optimization     Radial basis function network    

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A multi-sensor relation model for recognizing and localizing faults of machines based on network analysis

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 2, doi: 10.1007/s11465-022-0736-9

Abstract: Recently, advanced sensing techniques ensure a large number of multivariate sensing data for intelligent fault diagnosis of machines. Given the advantage of obtaining accurate diagnosis results, multi-sensor fusion has long been studied in the fault diagnosis field. However, existing studies suffer from two weaknesses. First, the relations of multiple sensors are either neglected or calculated only to improve the diagnostic accuracy of fault types. Second, the localization for multi-source faults is seldom investigated, although locating the anomaly variable over multivariate sensing data for certain types of faults is desirable. This article attempts to overcome the above weaknesses by proposing a global method to recognize fault types and localize fault sources with the help of multi-sensor relations (MSRs). First, an MSR model is developed to learn MSRs automatically and further obtain fault recognition results. Second, centrality measures are employed to analyze the MSR graphs learned by the MSR model, and fault sources are therefore determined. The proposed method is demonstrated by experiments on an induction motor and a centrifugal pump. Results show the proposed method’s validity in diagnosing fault types and sources.

Keywords： fault recognition     fault localization     multi-sensor relations     network analysis     graph neural network    

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Forecast of fire accidents based on Grey-Markov model

Mao Zhanli,ZhuYi,Yang Bozhong,ZhuLei

Strategic Study of CAE 2010, Volume 12, Issue 1,   Pages 98-101

Abstract: is influenced by many complex factors, and it has the characteristics of random and fluctuation, so greymodel and Markov model are combined together to establish a new Grey-Markov model in this paper .Thepaper adopts grey model and Markov model to show grey feature and random separately, at last the modelThe result shows the forecast precision of Grey-Markov model is higher than the forecast precision ofgrey model, the model can satisfy the demand in forecast precision, and it can be used for fire accidents

Keywords： Grey model     Markov model     fire accidents     forecast    

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Title Author Date Type Operation

Analytic Method to a Kind of Grey Fuzzy Decision Making Based on Entropy

Luo Dang,Liu Siwei

Journal Article

Study on the Optimization of Public Traffic Line Network Based on Grey Fuzzy Numbers and Its Application

Deng Wei,Hu Qizhou

Journal Article

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

Zeshui XU, Shen ZHANG

Journal Article

Incomplete Fuzzy Information System

Yang Xibei,Yang Jingyu,Wu Chen,Fu Fan

Journal Article

An Axiomatic Definition of Degree of Greyness of Grey Number

Liu Sifeng,Li Yi

Journal Article

Description and reasoning of integrated topological and directional relation of bodies in 3D space

Liu Xin,Li Chengming and Liu Wenbao

Journal Article

Entity and relation extraction with rule-guided dictionary as domain knowledge

Journal Article

Multi-objective optimization of cutting parameters in high-speed milling based on grey relational analysis

Tao FU, Jibin ZHAO, Weijun LIU

Journal Article

Study on the Multi-attribute Decision Model of Grey Target Based on Interval Number

Dang Yaoguo,Liu Sifeng,Liu Bin

Journal Article

Application of grey-taguchi method for optimization of dry sliding wear properties of aluminum MMCs

Rajesh SIRIYALA, Gopala Krishna ALLURU, Rama Murthy Raju PENMETSA, Muthukannan DURAISELVAM

Journal Article

Study on Improvement of Token and Arithmetic of Interval Grey Numbers and Its GM(1,1) Model

Fang Zhigeng,Liu Sifeng,Lu Fang,Wan Jun,Liu Bin

Journal Article

Macrozoobenthic assemblages in relation to environments of the Yangtze-isolated lakes

Baozhu PAN, Haijun WANG, Hongzhu WANG, Zhaoyin WANG

Journal Article

An optimized grey wolf optimizer based on a mutation operator and eliminating-reconstructing mechanism

Xiao-qing ZHANG, Zheng-feng MING

Journal Article

A multi-sensor relation model for recognizing and localizing faults of machines based on network analysis

Journal Article

Forecast of fire accidents based on Grey-Markov model

Mao Zhanli,ZhuYi,Yang Bozhong,ZhuLei

Journal Article