๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Fuzzy efficiency ranking in fuzzy two-stage data envelopment analysis

โœ Scribed by Shiang-Tai Liu

Book ID
120885589
Publisher
Springer-Verlag
Year
2013
Tongue
English
Weight
320 KB
Volume
8
Category
Article
ISSN
1862-4472

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

Aggregating preference ranking with fuzz
Aggregating preference ranking with fuzzy Data Envelopment Analysis
โœ Majid Zerafat Angiz L.; Ali Emrouznejad; A. Mustafa; A.S. Al-Eraqi ๐Ÿ“‚ Article ๐Ÿ“… 2010 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 242 KB

Selecting the best alternative in a group decision making is a subject of many recent studies. The most popular method proposed for ranking the alternatives is based on the distance of each alternative to the ideal alternative. The ideal alternative may never exist; hence the ranking results are bia

Fuzzy data envelopment analysis (DEA): M
Fuzzy data envelopment analysis (DEA): Model and ranking method
โœ Meilin Wen; Huaishu Li ๐Ÿ“‚ Article ๐Ÿ“… 2009 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 445 KB

Data Envelopment Analysis (DEA) is a very effective method to evaluate the relative efficiency of decision-making units (DMUs). Since the data of production processes cannot be precisely measured in some cases, the uncertain theory has played an important role in DEA. This paper attempts to extend t

A new ranking method to fuzzy data envel
A new ranking method to fuzzy data envelopment analysis
โœ Meilin Wen; Cuilian You; Rui Kang ๐Ÿ“‚ Article ๐Ÿ“… 2010 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 309 KB

Due to its wide practical use, data envelopment analysis (DEA) has been adapted to many fields to deal with problems that have occurred in practice. One adaptation has been in the field of ranking decision-making units (DMUs). Most methods of ranking DMUs assume that all input and output data are ex