Abstract
Because Deng’s grey relational degree is inconspicuous, Deng’s relational degree with an exponential function is first presented. Then, we demonstrate that improved Deng’s relational degree is more conspicuous than the original model. Then, we construct a multiple-attribute decision-making model, based on improved Deng’s relational degree with multiple stages, and a method for determining the weight of the index is also developed. Finally, the core competence of private enterprises in Henan province is analyzed, illustrating the validity and feasibility of the improved model.
Highlights
Introducing the punished variable weight, Yang and Chen constructed a grey relational decision model, based on the variable weight and TOPSIS, and applied it to project bidding, and their results demonstrate that the new method is valid and stable [21]
The improved grey relational model can be combined with clustering methods and decision-making methods
More applications of decision-making models that are based on the improved grey relational model can be identified
Summary
Introducing the punished variable weight, Yang and Chen constructed a grey relational decision model, based on the variable weight and TOPSIS, and applied it to project bidding, and their results demonstrate that the new method is valid and stable [21]. Combining the VIKOR algorithm and grey combination, Kuo and Liang introduced a fuzzy multiattribute decision-making model to examine service quality problems of international airlines. This decision model is effective and practical in assessing quality of service [24]. Using the fuzzy analytical hierarchy process and grey relational degree, Samvedi et al constructed the multiattribute decision-making model for machine tool selection.
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