Data envelopment analysis (DEA) has been proven as an excellent
data-oriented efficiency analysis method for comparing decision making units
() with multiple inputs and multiple outputs. In conventional DEA, it is
assumed that the status of each measure is clearly known as either input or
output. However, in some situations, a performance measure can play input
role for some and output role for others. Cook and Zhu [
(2007) 692–699] referred
to these variables as flexible...
Data envelopment analysis (DEA) has been proven as an excellent
data-oriented efficiency analysis method for comparing decision making units
() with multiple inputs and multiple outputs. In conventional DEA, it is
assumed that the status of each measure is clearly known as either input or
output. However, in some situations, a performance measure can play input
role for some and output role for others. Cook and Zhu [
(2007) 692–699] referred
to these variables as flexible...
For a specific query merging the returned results from multiple search engines, in the form of a metasearch aggregation, can provide significant improvement in the quality of relevant documents. This paper suggests a minimax linear programming (LP) formulation for fusion of multiple search engines results. The paper proposes a weighting method to include the importance weights of the underlying search engines. This is a two-phase approach which in the first phase a new method for computing the importance...
For a specific query merging the returned results from multiple search engines, in the
form of a metasearch aggregation, can provide significant improvement in the quality of
relevant documents. This paper suggests a minimax linear programming (LP) formulation for
fusion of multiple search engines results. The paper proposes a weighting method to
include the importance weights of the underlying search engines. This is a two-phase
approach which in...
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