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The Optimization of Grey Model GM (1,1)

Luo Dang,Liu Sifeng,Dang Yaoguo

Strategic Study of CAE 2003, Volume 5, Issue 8, Pages 50-53

Abstract:

This paper analyzes the reason that grey model GM (1,1) often makes errors in simulated data.By contrasting the optimum one to the GM (1,1) about the simulation, it can be concluded that the structuremethod of background value in grey model GM (1,1) has an important influence on the prediction and adaptabilityof the model.The optimum background value makes grey model GM (1,1) have better fitting and forecasting precision.

Keywords： grey model GM (1 1) winterization equation background value

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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 greyLast, the paper established the GM (1,1) model based on the interval grey number and got a good effect

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

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Non-equidistant GM(1,1) power model and its application in engineering

Wang Zhengxin,Dang Yaoguo,Liu Sifeng

Strategic Study of CAE 2012, Volume 14, Issue 7, Pages 98-102

Abstract: (1,1) power model was proposed.The results showed that the form of non equidistant GM(1,1) power model was more flexible than the traditionalBoth non equidistant GM(1,1) model and Grey Verhulst model were the special cases of non equidistantGM(1,1) power model.(1,1) power model.

Keywords： grey system non-equidistant sequence GM(1 1) power model parameter optimization

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Analysis of GM（1，1）Model and Its Application in Fire Risk Prediction

Chen Zijin,Wang Fuliang,Lu Shouxiang

Strategic Study of CAE 2007, Volume 9, Issue 5, Pages 91-94

Abstract:

Theoretical analysis of grey prediction model GM(1, 1) is present inMonotonicity of predicted value and its variation tendency predicted by GM(1, 1)model is proved.on the monotonicity of predicted value and its variation tendency, applicability criterion of GM(1, 1) is brought forward. Example applications of the criterion in fire risk grey prediction are discussed.

Keywords： fire forecast GM(1 1) rate of the fire injured

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Study on a kind of new strengthening buffer operators and numerical simulations

Cui Jie,Dang Yaoguo,Liu Sifeng,Xie Naiming

Strategic Study of CAE 2010, Volume 12, Issue 2, Pages 108-112

Abstract: buffer operators, the kind of new strengthening buffer operators increases the forecast precision of GM(1,1) remarkably.

Keywords： operator strengthening buffer operator geometry average strengthening operator GM(1 1)

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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: define an interval number to denote this index value, but none has studied the interval number decision modelin grey target decision.Based 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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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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Study on Grey Incidence Decision Model of the Dynamic Multiple-attribute

Dang Yaoguo,Liu Sifeng,Liu Bin,Tao Yong

Strategic Study of CAE 2005, Volume 7, Issue 2, Pages 69-72

Abstract: multiple-attribute system, in initializing the attribute data, a new linear changing operator in [-1,1By this method to find the positive and negative ideal precept of each period, a new grey incidence decisionmodel of the dynamic multi-attribute is establishod.In this model, the developing character of each attribute in the system is fully consider, and appliedto grey incidence analysis.

Keywords： grey incidence analysis multi-attribute decision model

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A novel grey wolf optimizer and its applications in 5G frequency selection surface design Research Article

Zhihao HE, Gang JIN, Yingjun WANG

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 9, Pages 1338-1353 doi: 10.1631/FITEE.2100580

Abstract: In this paper, we propose a self-adaptive (SAGWO) combined with a novel optimization model of a 5Ggenetic algorithm (GA), particle swarm optimizer (PSO), improved (IGWO), and selective opposition based greyThe combination of SAGWO and the new FSS optimization model can automatically obtain the shape of the

Keywords： Grey wolf optimizer Fifth-generation wireless communication system (5G) Frequency selection surface

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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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Improved dynamic grey wolf optimizer Research Articles

Xiaoqing Zhang, Yuye Zhang, Zhengfeng Ming,249140543@qq.com

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 6, Pages 887-890 doi: 10.1631/FITEE.2000191

Abstract: To get rid of this waiting period, two dynamic GWO algorithms are proposed: the first dynamic (DGWO1)

Keywords：群智能；灰狼优化算法；动态灰狼优化算法；优化实验

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Financing Model Decision of Inter-basin Water Transfer Projects

Ji-wei Zhu,Li-nan Zhou,Zhao Zhai,Cong Wang

Frontiers of Engineering Management 2016, Volume 3, Issue 4, Pages 396-403 doi: 10.15302/J-FEM-2016060

Abstract: Inter-basin Water Transfer Projects require the appropriate financing model to attract large amountsTherefore, financing model decision becomes the key of engineering construction.In three aspects, such as the subject, the object and the target of the financing model, Grey TargetModel is established in this paper.The Weighted Grey Target Model is used to calculate the approaching degree of financing model and assists

Keywords： Inter-basin Water Transfer Projects financing model Weighted Grey Target Model water diversion Han River

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An evaluation model of water-saving reconstruction projects based on resource value flows

Runwen JIANG, Xiaohong CHEN, Lingchu ZHAO, Zhifang ZHOU, Tao ZHANG

Frontiers of Engineering Management 2022, Volume 9, Issue 2, Pages 257-267 doi: 10.1007/s42524-020-0144-y

Abstract: We used Hina Advanced Materials Company as a case to construct an investment decision model to (1) calculateWe concluded that the circulation economic value analysis model can effectively display the flow and

Keywords： value flow analysis ternary materials enterprises grey situation decision analysis water resources

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Analysis of synergy degree and its influencing factors in hydropower EPC project management

Jiwei ZHU, Hua GAO, Jiangrui WANG

Frontiers of Engineering Management 2021, Volume 8, Issue 3, Pages 402-411 doi: 10.1007/s42524-020-0098-0

Abstract: In this work, a three-dimensional system and a system model of hydropower EPC project management synergyFurthermore, the evaluation index system and the degree of synergy model are established, and grey relational

Keywords： hydropower project EPC mode synergy degree model grey relational analysis

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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