Study on the extending multi-attribute decision model of grey target

Based on the distance of interval numbers and the two-stage decision methods, this paper expands the decision model of grey target into some situation under which the decision information and target weights are the interval numbers at the same time. It also gives the optimization method of weights in the grey target. We get the optimum coordinated vector utilizing the combination assigning method, based on the local optimization of various schemes. So it can shift the weights of interval number into real number form and sequence it according to the weighted off-target distance. Finally the effectiveness and practicality of the model is proved by a real project.

Using Grey Target Theory for Power Quality Evaluation Based on Power Quality Monitoring Data

Smart grid puts forward higher requirements for power quality.Power quality evaluation can provide a decision-making basis for quality improvement.Based on power quality monitoring data,a grey target method is proposed for power quality evaluation.The grey target is composed of power quality evaluation standard and power quality monitoring data to be evaluated.Combining with the characteristics of each power quality evaluation index,the target center of the whole grey target system is found.Then,the power quality monitoring data to be evaluated and the power quality standard mode are compared and analyzed to construct the power quality grey correlation difference information space.Finally,the target center coefficient and target degree of power quality are calculated to realize the comprehensive evaluation of power quality,and the evaluation grade of power quality monitoring data to be evaluated is obtained.Compared with the evaluation results of the existing literature,the effectiveness of the proposed method is verified,which shows that grey target theory is reasonable in the comprehensive evaluation of power quality.

Identifying Model Series of MIMO System via Grey Target Theory

This paper discusses the problem of identifying model series of multi-input multi-output system via grey target theory by taking, respectively, both having and not having reference systems into account, which may sever as general guidance to models identification in case of less data, small sample and uncertainty; and proposes the approach to determining the so-called revealed distinguishing field, which can increase the accuracy of models identification by decreasing possible field of distinguishing coefficient and improve the approach determining the distinguishing coefficient in classical grey relational theory.

Novel detection method for infrared small targets using weighted information entropy

This paper presents a method for detecting the small infrared target under complex background. An algorithm, named local mutation weighted information entropy （LMWIE）, is proposed to suppress background. Then, the grey value of targets is enhanced by calculating the local energy. Image segmentation based on the adaptive threshold is used to solve the problems that the grey value of noise is enhanced with the grey value improvement of targets. Experimental results show that compared with the adaptive Butterworth high-pass filter method, the proposed algorithm is more effective and faster for the infrared small target detection.

Dynamic Multi-Attribute Decision Analysis on Three-Parameter Interval Grey Number of Upper(Lower)Deviation Quasi-Normal Distribution

Aiming at the dynamic multi-attribute decision making problem where the weight of each decision stage and attribute weight are completely unknown and the attribute value is unknown distributed three-parameter interval grey number,a threeparameter interval grey number dynamic multiattribute grey target decision making method with attribute value following quasi-normal distribution is proposed.Firstly,the position relationship between the“center of gravity”point and the kernel of the threeparameter interval grey number is discussed.According to the characteristicthat the attribute value obeys the quasi-normal distribution,anew weight isgiventothe“centerof gravity”point,and a new distance measure formula of the three-parameter interval grey number is defined.Secondly,according to the principle of maximum entropy,the objective programming model is constructed to determine the stage weight and attributeweight.Then,the schemes aresorted according to thesize of the comprehensive bull's-eye distance Finally an example is given to illustrate the effectiveness of the decision model.

Financing Model Decision of Inter-basin Water Transfer Projects

Inter-basin Water Transfer Projects require the appropriate financing model to attract large amounts of social investment.Therefore,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 Target Model is established in this paper.First,the complex financing mode decision problems of Inter-basin Water Transfer Projects are decomposed by using hierarchical decomposition method.Then Analytical Hierarchy Process(AHP) method is used to calculate the comprehensive weight of evaluation index.Experts' opinions financing model are transformed into the evaluation matrix based on the Dephi method.The Weighted Grey Target Model is used to calculate the approaching degree of financing model and assists financing mode decision.In addition,this paper takes the water diversion project from the Han to the Wei River of Shaanxi Province as a verification example for the model.For other water diversion projects,the evaluation results are also reliable and provide theoretical references for the financing model decision of Inter-basin Water Transfer Projects.