Titlebook: Extension of Data Envelopment Analysis with Preference Information; Value Efficiency Tarja Joro,Pekka J. Korhonen Book 2015 Springer Scienc

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0884-8289 of this field are reviewed in Chapter 4. Chapter 5 also compares and contrasts Data Envelopment Analysis and Multiple Objective Linear Programming, providi978-1-4899-7889-9978-1-4899-7528-7Series ISSN 0884-8289 Series E-ISSN 2214-7934

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Book 2015re closely in Chapter 3. Since the approaches introduced in this study are inspired by Multiple Objective Linear Programming, the basic concepts of this field are reviewed in Chapter 4. Chapter 5 also compares and contrasts Data Envelopment Analysis and Multiple Objective Linear Programming, providi

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Introduction,importance to utilize and allocate the existing ones in the best possible way. The demand for efficiency of operations both in private and public sectors has also been currently emphasized due to severe economic conditions and increased competition.

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Comparison of Data Envelopment Analysis and Multiple Objective Linear Programming,e also had a significant impact on the development of multiple objective linear programming (MOLP) through the development of goal programming (Charnes and Cooper 1961). Although the methods have shared origins, researchers in these two camps have generally not paid much attention to research perfor

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Value Efficiency Analysis in Practice,.. For a rational DM any point on the efficient frontier of the production possibility set is a possible and reasonable choice. If the production possibility set is convex, then the efficient given units are only a finite subset of the whole (uncountable) efficient frontier. In this case, the final