نتایج جستجو برای: ranking efficiency

تعداد نتایج: 420095  

In evaluating the efficiency of decision making units (DMUs) by Data Envelopment Analysis (DEA) models, may be more than one DMU has an efficiency score equal to one. Since ranking of efficient DMUs is essential for decision makers, therefore, methods and models for this purpose are presented. One of ranking methods of efficient DMUs is cooperative game theory. In this study, Lee and Lozano mod...

2012
P. Jomsri

Nowadays social media are important tools for web resource discovery. The performance and capabilities of web searches are vital, especially search results from social research paper bookmarking. This paper proposes a new algorithm for ranking method that is a combination of similarity ranking with paper posted time or CSTRank. The paper posted time is static ranking for improving search result...

Journal: :European Journal of Operational Research 1999
Frances X. Frei Patrick T. Harker

When one undertakes a benchmarking study, it is quite typical to collect performance data on a set of business processes from a variety of organizations. While one can compare efficiency on a process-by-process level, how can one compare the overall efficiency of one organization versus another using this process-level data? This note presents a methodology that combines tournament ranking and ...

Journal: :JORS 2006
S. Y. Sohn

Ranking efficiency based on DEA results can be used for grouping DMUs. The resulting group membership can be partly related to environmental characteristics of DMU, which are not used either as input or output. Utilizing the expert knowledge on super efficiency DEA results, we propose a multinomial Dirichlet regression model which can be used for the purpose of selection of new projects. A case...

1999
Hassen A. Muttlak

Ranked set sampling (RSS) assumed perfect ranking i.e. there will be no errors in ranking the units with respect to the variable of interest. In fact for most practical applications, it is not easy to rank the units without errors in ranking. There will be a loss in efficiency, i.e. RSS will give a larger variance due to the errors in ranking the units. To reduce the errors in ranking in estima...

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