envelopment analysis (dea) is a very eective method to evaluate the relative eciency of decision-making units (dmus). dea models divided all dmus in two categories: ecient and inecientdmus, and don't able to discriminant between ecient dmus. on the other hand, the observedvalues of the input and output data in real-life problems are sometimes imprecise or vague, suchas interval data, ...

examining the impacts of data modification is considered as sensitivity analysis. a lot of studies have considered the data modification of inputs and outputs in dea. the issues which has not heretofore been considered in dea sensitivity analysis is modification in the number of inputs and (or) outputs and determining the impacts of this modification in the status of efficiency of dmus. this pa...

introduction: iran's social security organization provides hospital services through direct treatment system (hospitals owned by the organization) and indirect treatment system (purchasing of hospital services and other health care services from other providers). the current research aims to assess technical performance and determine the relationship between activity size and efficiency level o...

as regards of supper efficiency models which increased thediscrimination power of the standard dea models, still infeasibility mayoccure. in literature there exists some models overcome this difficulty.in this paper a new procedure has been mooted in order to remove thisshortcoming in a way that both input savings and output surplus arebeing considered. this procedure deals with nonradial chang...

performance evaluation has been developed in the form of management schools along by managerial thought development. banks and financial institutes are one of the most important economic sections to each country which by receipts and payments directing and organizing facilitate business and commercial transactions and develop markets and economic growth and as the main pillars in directing and ...

In this paper, fuzzy DEA (data envelopment analysis) models are proposed for evaluating the efficiencies of objects with fuzzy input and output data. The obtained efficiencies are also fuzzy numbers that reflect the inherent ambiguity in evaluation problems under uncertainty. An aggregation model for integrating fuzzy attribute values is provided in order to rank objects objectively. Using the ...

Clinicians and hospital administrators rely on information models for healthcare management and decision-making. However, healthcare surgical performance measurements include both qualitative and quantitative data, often with conflicting and interdependent variables. As a result many statistical modeling approaches can break down with healthcare data. Other more resilient algorithms, such as Da...