TY - CHAP
T1 - Hybrid DEA
AU - Wen, Meilin
N1 - Publisher Copyright:
© 2015, Springer-Verlag Berlin Heidelberg.
PY - 2015
Y1 - 2015
N2 - In many cases, uncertainty and randomness simultaneously appear in a system. For example, some DMUs have no samples, while others have enough samples to determine probability distributions. In this case, this chapter will give some hybrid DEA models to deal with the hybrid uncertainties. This chapter will employ chance theory to model the hybrid DEA models.
AB - In many cases, uncertainty and randomness simultaneously appear in a system. For example, some DMUs have no samples, while others have enough samples to determine probability distributions. In this case, this chapter will give some hybrid DEA models to deal with the hybrid uncertainties. This chapter will employ chance theory to model the hybrid DEA models.
KW - Chance-constrained Programming (CCP)
KW - Determine Probability Distributions
KW - Hybrid Uncertainty
KW - Output Random Vector
KW - Ranking Criteria
UR - https://www.scopus.com/pages/publications/85125903965
U2 - 10.1007/978-3-662-43802-2_6
DO - 10.1007/978-3-662-43802-2_6
M3 - 章节
AN - SCOPUS:85125903965
T3 - Uncertainty and Operations Research
SP - 139
EP - 147
BT - Uncertainty and Operations Research
PB - Springer Nature
ER -