A robust optimization approach for imprecise data envelopment analysis

Computers and Industrial Engineering

Volumn 59, Issue 3, 2010, Pages 387-397

  Shokouhi, Amir H ^a   Hatami Marbini, Adel ^b   Tavana, Madjid ^c   Saati, Saber ^d  

^a K N TOOSI UNIVERSITY OF TECHNOLOGY   (Iran)

^b LOUVAIN SCHOOL OF MANAGEMENT   (Belgium)

^c LA SALLE UNIVERSITY   (United States)

^d ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

Data envelopment analysis; Fuzzy data; Interval data; Monte Carlo simulation; Robust optimization

Indexed keywords

AMBIGUOUS DATA; FUZZY DATA; FUZZY REPRESENTATIONS; HIGH PROBABILITY; IMPRECISE DATA; INPUT AND OUTPUTS; INPUT VARIABLES; INTERVAL DATA; LINGUISTIC DATA; MONTE CARLO SIMULATION; REAL-LIFE PROBLEMS; REAL-WORLD PROBLEM; ROBUST OPTIMIZATION; WORST CASE; WORST-CASE EFFICIENCY;

COMPUTER SIMULATION; CONSTRAINED OPTIMIZATION; DATA ENVELOPMENT ANALYSIS; FUZZY CONTROL; FUZZY LOGIC; LINEAR PROGRAMMING; MATHEMATICAL MODELS; REAL VARIABLES; UNCERTAINTY ANALYSIS;

DATA HANDLING;

EID: 77955472163     PISSN: 03608352     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cie.2010.05.011     Document Type: Article

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