نتایج جستجو برای: anderson peterson ranking model

تعداد نتایج: 2142719  

Journal: :Operators and Matrices 2014

Journal: :Stochastic Processes and their Applications 2016

Journal: :Physics Today 1987

Journal: :Bulletin of Materials Science 1992

Journal: :physica status solidi (c) 2004

2004
Guanling Chen David Kotz

Computer-controlled herding of cattle is the novel area of research being explored by CMC faculty member Daniela Rus and her group of cyber cowboys. Using an eTrex GPS, Zaurus PDA, small guitar amplifiers, and multihop wireless networking, the team has designed a cow collar which uses sounds to create virtual fences to guide cattle for roundup and to modify their grazing behavior. The team incl...

Journal: :iranian journal of optimization 2009
k. shahroudi

this paper reports a survey and case study research outcomes on the application of data envelopment analysis (dea) to the ranking method of european foundation for quality management (efqm) business excellence model in iran’s automotive industry and improving benchmarking process after assessment. following the global trend, the iranian industry leaders have introduced the efqm practice to thei...

From the perspective of banking and financial supervision, paying attention to the performance of banks and credit institutions and comparing their performance through ranking has become a necessary and inevitable issue. Also, the need for performance rating information to properly understand the economic situation of the country and efforts to improve it and the optimal allocation of resources...

Journal: :ژورنال بین المللی پژوهش عملیاتی 0
m. khoveyni r. eslami

in this current study a generalized super-efficiency model is first proposed for ranking extreme efficient decision making units (dmus) in stochastic data envelopment analysis (dea) and then, a deterministic (crisp) equivalent form of the stochastic generalized super-efficiency model is presented. it is shown that this deterministic model can be converted to a quadratic programming model. so fa...

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