Introduction.- Data Envelopment Analysis.- Production Possibility Set and Efficiency.- Multiple Objective Linear Programming.- Comparison of Data Envelopment Analysis and Multiple Objective Linear Programming.- Incorporating Preference Information to Data Envelopment Analysis.- Value Efficiency Analysis.- Value Efficiency Analysis in Practice.- Extensions to Value Efficiency Analysis.-Non-Convex Value Efficiency Analysis.- Applications of Value Efficiency Analysis.- Conclusion.
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“Researchers and managers who are interested in applications of DEA would seem to be the primary beneficiaries of reading it; professors and instructors might select some themes from the book to complement their DEA courses for OR students. In addition, the theoretician of decision making might be interested in the further development of the nonconvex approach in value efficiency analysis initiated in the book.” (Antanas Zilinskas, Interfaces, Vol. 46 (1), 2015)
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