نتایج جستجو برای: pessimistic efficiency interval
تعداد نتایج: 585376 فیلتر نتایج به سال:
Data envelopment analysis is a method for evaluating the relative efficiency of a collection of decision making units. The DEA classic models calculate each unit’s efficiency in the best condition, meaning that finds a weight that the DMU is at its maximum efficiency. In this paper, utilizing the directional distance function model in the presence of undesirable outputs, the efficiency of each ...
Supplier selection can be considered as a complicated multi criteria decision-making problem.In this paper the problem of supplier selection is studied in the presence of conflicting evaluations and insufficient information about the criteria and different attitudes of decision makers towards the risk. Most of fuzzy approaches used in multi-criteria group decision making (MCGDM) are non-intuiti...
Seligman's theory of causal attribution predicts that patients with a pessimistic explanatory style will have less favourable health outcomes. We identified 702 patients who had undergone 894 primary total knee replacements between 1993 and 2005, who responded to follow-up surveys at two (n = 783 knee replacements) and/or five years (n = 443 knee replacements) and had also completed the Minneso...
and Applied Analysis 3 Let a and b be two cost intervals, and the minimum cost interval is to be chosen. i If the decision maker DM is optimistic, then he/she will prefer the interval with maximum width along with the risk of more uncertainty giving less importance. ii If DM is pessimistic, then he/she will pay more attention on more uncertainty. That is, on the right hand points of the interva...
In the context of scheduling, we study social cost efficiency for a cost-sharing problem in which the service provider’s cost is determined by the makespan of the served agents’ jobs. For identical machines, we give surprisingly simple cross-monotonic cost-sharing methods that achieve the essentially best efficiency Moulin mechanisms can guarantee. Still, our methods match the budget-balance of...
Data envelopment analysis (DEA) is a method to measure relative efficiency of a set of decision-making units (DMUs) which uses multiple inputs and produces multiple outputs. In the conventional DEA, crisp inputs and outputs are fundamentally necessary. But the observed values of inputs and outputs in real-world problems are sometimes imprecise. Thus, performance measurement often needs to be do...
data envelopment analysis (dea) is a powerful tool for measuring relative efficiency of organizational units referred to as decision making units (dmus). in most cases dmus have network structures with internal linking activities. traditional dea models, however, consider dmus as black boxes with no regard to their linking activities and therefore do not provide decision makers with the reasons...
data envelope analysis (dea) is an approach to estimate the relative efficiency of decision making units (dmus). several studies were conducted in order to prioritize efficient units and some useful models such as cross-efficiency matrix (cem) were presented. besides, a number of dea models with interval data have been developed and ranking dmus with such data was solved. however, presenting a...
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