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Multi-Factor Policy Evaluation and Selection in the One-Sample Situation

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Author Info
Chen, C.M. (Erasmus Research Institute of Management (ERIM), RSM Erasmus University)
Abstract

Firms nowadays need to make decisions with fast information obsolesce. In this paper I deal with one class of decision problems in this situation, called the “one-sample†problems: we have finite options and one sample of the multiple criteria with which we use to evaluate those options. I develop evaluation procedures based on bootstrapping DEA (Data Envelopment Envelopment) and the related decision-making methods. This paper improves the bootstrap procedure proposed by Simar and Wilson (1998) and shows how to exploit information from bootstrap outputs for decision-making.

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File URL: http://hdl.handle.net/1765/14275
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Paper provided by Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam. in its series Research Paper with number ERS-2008-084-LIS Revision_Date: 2009-04-07.

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Date of creation: 11 Dec 2008
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Handle: RePEc:dgr:eureri:1765014275

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Related research
Keywords: multiple criteria; bootstrap; data envelopment analysis; parametric transformation; R&D project; supplier selection;

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This page was last updated on 2009-12-9.

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