RAM模型、BAM模型、加权SBM模型、SBM方向性距离模型-经管之家官网！

坛友互助群

扫码加入各岗位、行业、专业交流群

Ø A series of Weighted Additive models

a)Simple Additive model： Weights = (1, 1, 1, ...)

b)Normalized Weighted Additive (Lovell and Pastor 1995)

c)Weights = 1/x0, 1/y0

d)Weights = 1/(mean of x0),1/(meanof y0)

e)Range Adjusted Measure (RAM,Cooper, Park, and Pastor 1999)

f)Bounded Adjusted Measure (BAM,Cooper, Pastor, Borras, Aparicio, and Pastor 2011)

g)Directional Slacks-based Measure (DSBM,Fukuyama and Weber 2009)

h)Customized Weights (same for all DMUs)

i)Customized Weights (DMU specific)

Ø Common Weights Model (Pareto optimalsatisfaction degree by Wu, Chu, Zhu, Li, and Liang 2016)

Thetraditional DEA model allows the DMUs to evaluate their maximum efficiencyscores using their most favourable weights. This kind of evaluation withtotal weight flexibility may prevent the DMUs from being fully ranked andmake the evaluation results unacceptable to the DMUs. To solve theseproblems, Wu et al (2016) introduce a common weights model with the conceptof satisfaction degree of a DMU in relation to a common set of weights. Thecommon-weight evaluation approach can generate for the DMUs a set of commonweights that maximizes the least satisfaction degrees among the DMUs, and canensure that the generated common set of weights is unique and that the finalsatisfaction degrees of the DMUs constitute a Pareto-optimal solution. All ofthese factors make the evaluation results more satisfied and acceptable byall the DMUs.

Ø Minimum Efficiency model (PessimisticDEA by Entani, Maeda, and Tanaka 2002)

Thetraditional DEA model seeks to maximize the efficiency score of the evaluatedDMU using the most favorable set of input and output weights under the constraintthat the efficiency scores of all DMUs are less than or equal to one.

Entaniet al (2002) put forth a minimum efficiency model (a pessimistic DEA model).On the contrary, the minimum efficiency model seeks to minimize theefficiency score of the evaluated DMU using the most unfavorable set of inputand output weights under the constraint that the maximum efficiency of allDMUs is equal to one.

Ø Interval DEA(Entani, Maeda, and Tanaka 2002)

Whilethe traditional DEA is the evaluation model from the optimistic viewpoint,Entani, Maeda, and Tanaka (2002) propose an evaluation model from thepessimistic viewpoint, then an interval of efficiency with the upper andlower limitscan be constructed. It is called Interval DEA. The upper limit is the efficiencyfrom the optimistic model (traditional DEA), and the lower limit is from thepessimistic DEA (minimum efficiency model).

Ø New types of non-convex models

Non-convex:Free Disposal Hull (FDH). The CRS,NIRS, NDRS and GRS FDH models are added in additional to the traditionalVRS FDH model

Non-convex:Elementary Replicability Hull, ERH(AGRELL and TIND 2001)

Non-convex:Free Replicability Hull, FRH(Tulkens 1993; AGRELL and TIND 2001)

Ø More second-stage methods areavailable for Cross-efficiency model

1)Maximize/Minimizethe tradebalance of other DMUs as a whole (the existing method)

a) Blanket Benevolent (Type I in Doyleand Green 1995)

b) Blanket Aggressive (Type I in Doyleand Green 1995)

2)Maximize/Minimize the cross-efficiency of other DMUs as a whole (newly added)

c) Blanket Benevolent (Type II inDoyle and Green 1995)

d) Blanket Aggressive (Type II inDoyle and Green 1995)

3)Maximize/Minimize the cross-efficiency of each of other DMUs one by one(newly added)

e) Targeted Benevolent (Type IV in Doyleand Green 1995)

f) Targeted Aggressive (Type IV inDoyle and Green 1995)

l The results of the Malmquist modelsare re-designed,and they are easier to understand and more convenient to use. In addition, the biased technological change isadded to Malmquist results. TC=OBTC*IBTC*MATC. (Fare et al 1997)

扫码或添加微信号：坛友素质互助

「经管之家」APP：经管人学习、答疑、交友，就上经管之家！
免流量费下载资料----在经管之家app可以下载论坛上的所有资源，并且不额外收取下载高峰期的论坛币。
涵盖所有经管领域的优秀内容----覆盖经济、管理、金融投资、计量统计、数据分析、国贸、财会等专业的学习宝库，各类资料应有尽有。
来自五湖四海的经管达人----已经有上千万的经管人来到这里，你可以找到任何学科方向、有共同话题的朋友。
经管之家（原人大经济论坛），跨越高校的围墙，带你走进经管知识的新世界。
扫描下方二维码下载并注册APP