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This set of weights have been shown to represent the consensus opinion of the very candidates being evaluated, with the understanding that the candidates were free to selfishly select weights, with full knowledge of all other candidate"s criteria scores, so as to make themselves appear as attractive as possible in the respective selection problem setting. The interpretation and implication of this common set of weights is explored and recommendations for extending the methodology in practice are made.The extension of Data Envelopment Analysis (DEA) developed in this thesis presents a new approach for calculating a common set of weights for use in the scoring and ranking of alternatives in a project selection problem setting. In contrast to the traditional approach where expert opinion is interpreted to derive weights for aggregating individual criterion scores of an alternative, a new development is introduced to derive these weights from empirical data, based on a set of new One-Sided DEA (OSD) models and a new Ranking by Consensus (RC) methodology.The RC methodology was applied to four relevant problems: (1) Power Plant site selection, (2) Shortlisting Research Grant Proposals for a large Government Granting Agency, (3) Capital City site selection and (4) Two-dimensional simulated data for illustration. The results offer new insights into the possibilities of novel tools which can be helpful in the decision making process by providing a mathematical ranking of alternatives based on a common set of weights.
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/19//President /18//Vice President /17//Director /16//Deputy Director /15//Assistant Dept. Director /14//Chief of Ops. /13//Dept. Chief of Ops. /12//Board of Directors. An impact method for achieving organizational consensus was used in specifying R&D project selection criteria at four different organizations. to rank DMUs with the main idea being to use DEA. This paper presents a general model for aggregating votes from a preferential ballot. The thrust of the model is to accord each candidate a fair assessment in terms of his overall standing vis-a-vis first place, second place, ', k th place form of the model is a combined index Σ j = 1 k W j v ij where v ij is the number of the j th place votes received by the i th : D CookWade, KressMoshe. Book Value (Per Share) is a widely used stock evaluation measure. Find the latest Book Value (Per Share) for Easterly Government Properties Inc (DEA).
Interfaces with Other Disciplines Rank order data in DEA: A general framework Wade D. Cook a,*, Joe Zhu b a Room , Schulich School of Business,York University, Keele Street, Toronto, Canada M3J 1P3 b Department of Management, Worcester Polytechnic Institute, Institute Road, Worcester, MA , USA Received 26 March ; accepted 27 January [DEA] High Rank Trainer [DEA] Professional Conduct Inspector [DEA] Member of the Career Board [DEA] Human Resources Supervisor [DEA] Manager of Human Resources - [DEA] Office of Administration - [DEA] Division Manager [DEA] Vice President [DEA] President [DEA] District Attorney. This paper presents a general model for aggregating votes from a preferential ballot. The thrust of the model is to accord each candidate a fair assessment in terms of his overall standing vis-a-vis first place, second place, , kth place form of the model is a combined index Σ j = 1 k W j v ij where v ij is the number of the jth place votes received by the ith candidate. Data Envelopment Analysis (DEA) evaluates the relative efficiency of decision-making units (DMUs) but does not allow for a ranking of the efficient units themselves. A modified version of DEA based upon comparison of efficient DMUs relative to a reference technology spanned by all other units is developed.
Our DeA Capital consensus estimates page is based on consensus analyst forecast, covering public companies earnings per share and revenue. You'll be provided with DeA Capital overall consensus. The NHL playoffs Saturday slate is seeing line movement on public betting and sharp money. Lightning vs Blue Jackets tops the August 15 NHL schedule. Drug Enforcement Administration. Who We Are. About Mission History Leadership DEA Museum Wall of Honor Office Locations Domestic Divisions Foreign Offices Operational Divisions Contact Submit a Tip Extortion Scam Media Contacts. Data Envelopment Analysis (DEA), is being used as an effective multi-criteria decision making tool for computing the performance efficiencies. At times, while analyzing using Constant Return to Scale (CRS) approach of DEA, few DMUs end up at an equal rank. In this chapter, this limitation of DEA .