نتایج جستجو برای: decision making units
تعداد نتایج: 698679 فیلتر نتایج به سال:
This paper introduces two virtual Decision Making Units (DMUs) called ideal point and anti-ideal point, Then calculates distances of each DMU to the ideal and anti-ideal point. The two distinctive distances are combined to form a comprehensive index called the relative closeness (RC) just like the TOPSIS approach. The RC index is used as an overall ranking for all the DMUs. Then, this method co...
Background and Objectives: Road accidents are one of the most important causes of death and severe bodily injuries and financial damages, and its social, cultural, and economic consequences have severely threatened human societies. The purpose of this study was to use data envelopment analysis (DEA) to measure the efficiency of provincial traffic police in reducing accidents in 2018 and determi...
This article combines two techniques: data envelopment analysis (DEA) and Factor analysis (FA) to data reduction in decision making units (DMU). Data envelopment analysis (DEA), a popular linear programming technique is useful to rate comparatively operational efficiency of decision making units (DMU) based on their deterministic (not necessarily stochastic) input–output data and factor analysi...
Background and purpose: The nurse's ability to make an effective clinical decision affects the quality of care and differentiates professional nurses from non-professional ones. Many individual and organizational factors affect clinical decision-making of nurses. This study aims to examine the relationship between participation in clinical decision-making and organizational culture of nurses in...
Introduction: The ability of critical thinking and clinical decision making is a professional necessity in nursing. Concept map is one of the novel and constructive methods of educational technology in nursing that can lead to meaningful deep learning. This study was conducted to determine the effect of teaching concept map on critical thinking and clinical decision making of nurses. Methods: ...
There are situations that Decision Making Units (DMU’s) have uncertain information and their inputs and outputs cannot alter redially. To this end, this paper combines the rough set theorem (RST) and Data Envelopment Analysis (DEA) and proposes a non-redial Rough-DEA (RDEA) model so called additive rough-DEA model and illustrates the proposed model by a numerical example.
BACKGROUND In North America, families generally wish to be involved in end-of-life decisions when the patient cannot participate, yet little is known about the extent to which shared decision making occurs in intensive care units. METHODS We audiotaped 51 physician-family conferences about major end-of-life treatment decisions at 4 hospitals from August 1, 2000, to July 31, 2002. We measured ...
Data envelopment analysis (DEA) is a method for measuring the relative efficiencies of a set of decision-making units (DMUs) that use multiple inputs to produce multiple outputs. In this paper, we study the measurement of DMU performances in DEA in situations where input and/or output values are given as imprecise data. By imprecise data we mean situations where we only know that the actual val...
In this paper we present a recurrent neural network model to recognize efficient Decision Making Units(DMUs) in Data Envelopment Analysis(DEA). The proposed neural network model is derived from an unconstrained minimization problem. In theoretical aspect, it is shown that the proposed neural network is stable in the sense of lyapunov and globally convergent. The proposed model has a single-laye...
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