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.

Application of Grey Multi-hierarchy Decision to Evaluation of Stock Quality

In order to evaluate stock quality scientifically, a synthetic evaluation system of stock quality is proposed on the basis of fuzzy set theory and grey multi-hierarchy decision method. Then the evaluation system is applied to an example. The results show that the evaluation system can overcome the errors of expert＇s subjective judgment.

Test Equipment Selection and Deployment of Materiel System Based on Grey Situation Decision

The situation is constructed when the tests are considered as events and the spare test equipments are considered as strategies. The model of grey situation decision for the test equipment selection and deployment （TESD） is founded. Through analyzing each decision objectives, their relative weights are calculated via analytic hierarchy process （AHP）. The grey situation effect matrix under each objective is computed so that the comprehensive effect measure matrix can be obtained when all of the objectives are traded off by their weights. Finally, the decision-maker can select the optimal situations by the value of the measures and such situations form the overall concept for TESD. The paper combines the AHP with grey situation decision to select and deploy the test equipments optimally. Our experimental results show that the proposed method is effective and efficient.

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.

Optimization of harmonious development on regional energy－economy－atmospheric environment system

The energy,industrial economy and atmospheric environment were taken into account as a whole cornplex system in this study. Based on the application of grey system theory and the analysis of development coefficients about major parameters of the system,the method of grey developrnent decision was approached, and a new concept-integrated development coefficient was put forward. Furthermore,the reasonable ranking of development decision within eight industrial sectors(building materials,coking,food and drink,chemical engineering,paper rnaking,machinery and electrical appliance,textile, mining)has been concluded from the viewpoint of economic growth, energy saving and ambient air quality protection.

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

Due to uncertainties in water supply,there is growing demand for water resource management in enterprises.In this study,we evaluated the effects of companies’water-saving reconstruction projects.We used Hina Advanced Materials Company as a case to construct an investment decision model to(1)calculate the internal and external costs of water resources based on circular economic value analysis theory,and(2)locate the level of water resources circulation.We adopted gray situation decision analysis to identify the typical problems that occur in water resource utilization.Moreover,we demonstrated optimization plans for different potential improvements,thereby providing guidance and references for water resource cost management and the comprehensive optimization of environmental benefits.We concluded that the circulation economic value analysis model can effectively display the flow and amount of value derived from water resource flows,thereby providing guidance and suggestions for optimizing water resource flows.