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Existing clustering algorithms need to specify the number of clusters and to select initial points using human input, which lead to inferior clustering and optimisation outputs. Here, an improved grey decision-making model based on the thought of affinity propagation algorithm and grey correlation analysis is proposed to solve these problems. According to the panel data class and the inter-class candidate...
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...
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...
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