This article aims to provide the reader with a clearer understanding of similarities and divergences that exist between grey fuzzy theory. The notion is considerably more established grey, however, in recent years theory has garnered traction become noticeable wider audiences. Both can be seen as being proponents uncertainty modelling, within their repertoires there are indeed facets similar na...

For the stochastic multi-criteria decision-making problem, in which the information on criteria's weights is incomplete and the indices value of alternatives are in the form of interval neutrosophic fuzzy numbers, an interval neutrosophic random decision-making approach based on WYCIN certainty factor and prospect theory is proposed. According to the score function of interval neutrosophic fuzz...

in this paper, we introduce a function in order to measure the distancebetween two order intervals of fuzzy numbers, and show that this function isa metric. we investigate some properties of this metric, and finally presentan application. we think that this study could provide a more generalframework for researchers studying on interval analysis, fuzzy analysis andfuzzy decision making.

Background: The efficiency of health system services is a critical measure for societies development. During the last fifty years, the world has witnessed a massive increase in health expenditure, and health-related cost, especially in developing countries, is the main obstacle in the way of advance in health care systems. As a remarkable portion of this cost belongs to blood supply chain...

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...