On constructing a composite indicator with multiplicative aggregation and the avoidance of zero weights in DEA

Journal of the Operational Research Society

Volumn 65, Issue 5, 2014, Pages 791-792

  Tofallis, Chris ^a  

^a UNIVERSITY OF HERTFORDSHIRE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84899829790     PISSN: 01605682     EISSN: 14769360     Source Type: Journal    
DOI: 10.1057/jors.2013.137     Document Type: Note

References (8)

1. Blancas FJ, Contreras I and Ramirez-Hurtado JM (2013). Constructinga composite indicator with multiplicative aggregation under theobjective of ranking alternatives. Journal of the Operational ResearchSociety 64(5): 668-678.
2. Cook WD and Zhu J (2013). DEA Cobb-Douglas frontier and crossefficiency.Journal of the Operational Research Society, advanceonline publication, 13 March, doi: 10.1057/jors.2013.13.
3. Cooper WW, Seiford L and Tone K (2006). Introduction to DataEnvelopment Analysis and its Uses. Springer: New York.
4. Giambona F and Vassallo E (2013). Composite indicator of socialinclusion for European countries. Social Indicators Research,published online 28 February, doi: 10.1007/s11205-013-0274-2.
5. Kerstens K and Van de Woestyne I (2010). Negative data in DEA: Asimple proportional distance function approach. Journal of theOperational Research Society 62(7): 1413-1419.
6. Pomerol J-C and Barba-Romero S (2000). Multicriterion Decision inManagement-Principles and Practice. Kluwer Academic Publishers,Dordrecht, Germany.
7. Tofallis C (2012). A different approach to university rankings. HigherEducation 63(1): 1-18.
8. Zhou P, Ang BW and Zhou DQ (2010). Weighting and aggregation incomposite indicator construction: A multiplicative optimizationapproach. Social Indicators Research 96(1): 169-181.