The problem of intervals in imprecise data envelopment analysis (IDEA)

WSEAS Transactions on Information Science and Applications

Volumn 2, Issue 10, 2005, Pages 1673-1678

  Derpanis, D V ^a   Foundas, E ^a  

^a UNIVERSITY OF PIRAEUS   (Greece)

Author keywords

Data envelopment analysis; Imprecise data; Interval data; Ordinal data

Indexed keywords

MATHEMATICAL MODELS; PROBABILITY; RANDOM PROCESSES; STATISTICAL METHODS;

DATA ENVELOPE ANALYSIS; IMPRECISE DATA; INTERVAL DATA; ORDINAL DATA;

DECISION THEORY;

EID: 24344459532     PISSN: 17900832     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (4)

1. A. Charnes, W.W. Cooper, A.Y. Lewin and L. M. Seiford, Data Envelopment Analysis: Theory, Methodology and Applications, Kluwer Academic Publishers, Norwell, MA, 1994.
2. W. W. Copper, Huang V.Lelas, S.X Li and O.B Olesen, "Chance Constrained Programming Formulations For Stochastic Characterizations of Efficiency and Dominance in DEA" Journal of productivity Analysis, Vol.9, No. 1, 1998, pp. 53-79.
3. W. W. Copper, K. S. Park, and G. Yu, "IDEA and AR-IDEA: Models for dealing with imprecise data in DEA", Management Science Vol. 45, 1999, pp. 597-607.
4. D. K. Despotis and Y. G. Smirlis, "Data envelopment analysis with imprecise data", European Journal of Operational Research Vol. 140, 2002, pp. 24-36.