In this paper, grey system theory and DEA are combined to establish a grey DEA model. In traditional DEA model, Input and output values of decision-making groups are all real numbers and real variables. They are replaced by grey numbers and grey variables in grey DEA model respectively. Using positioning solution method of grey linear programming, we prove the necessary condition for grey effec...

This paper proposes a grey interval relation TOPSIS for the decision making in which all of the attribute weights and attribute values are given by the interval grey numbers. The feature of our method different from other grey relation decision-making is that all of the subjective and objective weights are obtained by interval grey number and that decisionmaking is performed based on the relati...

in recent years, the problem of selecting and evaluating the suppliers in supply chain management has aroused considerable interest in business firms. owing to the development of information systems, reaching an appropriate decision for adopting discrete methods is a need. the researchers intend to present a new model in this paper as a contributing factor in the grey environment in which the r...

OBJECTIVE We wanted to identify differences in grey and white matter in essential tremor patients compared to controls in the non-motor domain, using the example of impaired verbal fluency. BACKGROUND A disturbance of verbal fluency in essential tremor patients compared to healthy controls is behaviorally well described. METHODS Voxel-based morphometry and tract-based spatial statistics wer...

The feature of our method different from other fuzzy grey relation method for supermixed multiple attribute group decision-making is that all of the subjective and objective weights are obtained by interval grey number and that the group decisionmaking is performed based on the relative approach degree of grey TOPSIS, the relative approach degree of grey incidence and the relative membership de...

the moe and mor are controlled by production variables of particleboard process. now, the basic question is which of the particleboard variables is effective on bending strength property? 13 variables of internal scientific resources were measured with 100 repeats. the study steps include the following; liner regression or stepwise, genetic algorithm, and artificial neural network. the number o...