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An unequal interval grey model is constructed to predict component reliability using meantime between failure data. The initial grey model developed focuses on predicting failure tendencies using equal time intervals or an equally spaced interval sequence for small sample sizes. Using this approach, the grey model does a poor job of predicting component reliabilities. To better predict component reliability...
There exist lots of complex multiple attribute decision problems in our daily life including in the commercial area. In order to effectively solve these problems, grey theory containing grey relational analysis (GRA) and grey multiple decision making (GMDM) is introduced and put into practice. In this paper, to begin with, the procedures for GRA and GMDM are introduced. Then, a multiple attribute...
Based on the statistics in 2005 from six provinces in the central region of China released by National Bureau of Statistics of China, this paper applies grey incidence analysis to analyze the cause and efficiency of regional scientific and technical output. After detail research, some results have been concluded: (1) In order to increase the standard of scientific and technical output in six provinces,...
On the basis of the analysis of the existing grey incidence degree and grey T ' s incidence degree, an improved model of grey T ' s incidence degree is putted forword. The improved one can reflect the positive and negative relation of sequence, possesses symmetry property, unique property, comparable property and preserving-order property after non-dimensionalization, and satisfies extending standard...
As the market is changing more rapidly, a corporation is required to speed up the rollout of new products within the shortest time to capture market shares. In order to meet the demand for diverse and small quantity production, a corporation needs to spend much effort on selecting the appropriate vendor for cutting product design time as well as enhancing the production capability and cost competitiveness...
This paper is an emphasis on some problems of grey fixed weight clustering decision-making based on interval numbers and gives definitions of ideal attribute interval numbers with beneficial indicators and cost indicators respectively. At the same time, ideal attribute deviation degree is defined and the matrix of ideal attribute deviation degree is converted from the matrix of interval numbers by...
This paper studies comprehension ex-post evaluation of multi-object and multi-layer projects by grey cluster evaluation model, analytical hierarchy process and experts investigation method. In order to study it, the ratio value index, before and after change threshold value index are constructed. At the same time, a comprehensive ex-post evaluation model is constructed and evaluation steps are given...
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