«data envelopment analysis multi»
۶۸۶ نتیجهAn algorithm for Data Envelopment Analysis (DEA).1
Data envelopment analysis is computationally intensive. The standard approach requires the solution of as many LPs as there are points in the data domain, each with as many columns. This number is frequently in the thousands and multi-period DEA amplifies the problem. Enhancement
Efficiency Improvement through Distance Friction Minimization in Data Envelopment Analysis -an Application to the Tourism Sector in Italy-
Data Envelopment Analysis (DEA) has become an established approach in efficiency improving strategies in industrial and regional programming. The aim of the present paper is to propose a new and recently developed Distance Friction Minimization (DFM) model in the context of DEA i
Re-mining Association Mining Results through Visualization, Data Envelopment Analysis, and Decision Trees
Re-mining is a general framework which suggests the execution of additional data mining steps based on the results of an original data mining process. This study investigates the multi-faceted re-mining of association mining results, develops and presents a practical methodology,
Generalized Fuzzy Inverse Data envelopment Analysis Models
Traditional DEA models do not deal with imprecise data and assume that the data for all inputs and outputs are known exactly. Inverse DEA models can be used to estimate inputs for a DMU when some or all outputs and efficiency level of this DMU are increased or preserved. this pap
The Position of Multiobjective Programming Methods in Fuzzy Data Envelopment Analysis
Traditional Data Envelopment Analysis (DEA) models evaluate the efficiency of decision making units (DMUs) with common crisp input and output data. However, the data in real applications are often imprecise or ambiguous. This paper transforms fuzzy fractional DEA model constructe
improving envelopment in data envelopment analysis by means of unobserved dmus: an application of banking industry
in data envelopment analysis, the relative efficiency of a decision making unit (dmu) is defined as the ratio of the sum of its weighted outputs to the sum of its weighted inputs allowing the dmus to freely allocate weights to their inputs/outputs. however, this measure may not r
Improving envelopment in data envelopment analysis by means of unobserved DMUs: an application of banking industry
In data envelopment analysis, the relative efficiency of a decision making unit (DMU) is defined as the ratio of the sum of its weighted outputs to the sum of its weighted inputs allowing the DMUs to freely allocate weights to their inputs/outputs. However, this measure may not r
A fuzzy group data envelopment analysis model for high-technology project selection: A case study at NASA
The assessment and selection of high-technology projects is a difficult decision making process at the National Aeronautic and Space Administration (NASA). This difficulty is due to the multiple and often conflicting objectives in addition to the inherent technical complexities a
Combining metrics for software evolution assessment by means of Data Envelopment Analysis
Research and practice in software engineering have led to an extensive set of metrics for the evaluation of almost every aspect of software development. One of the major challenges for any quality model is the combination of metrics, which are complementary to each other. In this
A Three-Stage Process for Fuzzy Stochastic Network Data Envelopment Analysis Models
One of the most useful tools in Operations Research (OR) which is essentially applied to evaluate the performance of treated Decision-Making Units (DMUs) is Data Envelopment Analysis (DEA). Because of in the current decades, DEA models have been used and extended in many discipli