A bargaining game model for measuring performance of two-stage network structures

2011 ◽  
Vol 210 (2) ◽  
pp. 390-397 ◽  
Author(s):  
Juan Du ◽  
Liang Liang ◽  
Yao Chen ◽  
Wade D. Cook ◽  
Joe Zhu
Keyword(s):  
Bargaining Game ◽  
Game Model ◽  
Network Structures ◽  
Two Stage

A bargaining game model for efficiency decomposition in the centralized model of two-stage systems

2013 ◽  
Vol 64 (1) ◽  
pp. 103-108 ◽  
Author(s):  
Zhongbao Zhou ◽  
Liang Sun ◽  
Wenyu Yang ◽  
Wenbin Liu ◽  
Chaoqun Ma
Keyword(s):  
Bargaining Game ◽  
Game Model ◽  
Two Stage ◽  
Efficiency Decomposition ◽  
Centralized Model

Two-Stage Non-Cooperative Game Model for Vertical Handoffs in Heterogeneous Wireless Networks

2021 ◽  
pp. 90-114
Author(s):  
Pramod Kumar Goyal ◽  
Pawan Singh
Keyword(s):  
Game Theory ◽  
Wireless Networks ◽  
Cooperative Game ◽  
Heterogeneous Wireless Networks ◽  
Substantial Reduction ◽  
Game Model ◽  
Two Stage ◽  
Vertical Handoffs ◽  
Cooperative Game Model ◽  
Selection Of

In a heterogeneous wireless network (HWN) environment, performing an efficient vertical handoff requires the efficient qualitative evaluation of all stakeholders like wireless networks (WN) and mobile users (MU) and mutual selection of best WN-MU. In the literature, most of the work deals with both these requirements jointly in the techniques proposed by them for the vertical handoffs (VHO) in HWNs, leaving very little scope to manipulate the above requirements independently. This may result in inefficient vertical handoffs. Hence, this chapter proposed a generalized two-stage two players, iterative non-cooperative game model. This model presents a modular framework that separates the quantitative evaluation of WNs and MUs (at Stage 1) from the game formulation and solution (at Stage 2) for mutual selection of best WN-MU pair for VHO. The simulation results show a substantial reduction in the number of vertical handoffs with the proposed game theory-based two-stage model as compared to a single-stage non-game theory method like multiple attribute decision making.

scholarly journals A Unified Approach to Efficiency Decomposition for a Two-Stage Network DEA Model with Application of Performance Evaluation in Banks and Sustainable Product Design

2019 ◽  
Vol 11 (16) ◽  
pp. 4401 ◽  
Author(s):  
Haitao Li ◽  
Jie Xiong ◽  
Jianhui Xie ◽  
Zhongbao Zhou ◽  
Jinlong Zhang
Keyword(s):  
Performance Evaluation ◽  
Product Design ◽  
Bargaining Game ◽  
Nash Bargaining ◽  
Sustainable Product Design ◽  
Two Stage ◽  
Network Dea ◽  
Nash Bargaining Game ◽  
Efficiency Decomposition ◽  
Sustainable Product

Data envelopment analysis (DEA) is a data-driven tool for performance evaluation, benchmarking and multiple-criteria decision-making. This article investigates efficiency decomposition in a two-stage network DEA model. Three major methods for efficiency decomposition have been proposed: uniform efficiency decomposition, Nash bargaining game decomposition, and priority decomposition. These models were developed on the basis of different assumptions that led to different efficiency decompositions and thus confusion among researchers. The current paper attempts to reconcile these differences by redefining the fairness of efficiency decomposition based on efficiency rank, and develops a rank-based model with two parameters. In our new rank-based model, these three efficiency decomposition methods can be treated as special cases where these parameters take special values. By showing the continuity of the Pareto front, we simplify the uniform efficiency decomposition, and indicate that the uniform efficiency decomposition and Nash bargaining game decomposition can converge to the same efficiency decomposition. To demonstrate the merits of our model, we use data from the literature to evaluate the performance of 10 Chinese banks, and compare the different efficiency decompositions created by different methods. Last, we apply the proposed model to the performance evaluation of sustainable product design in the automobile industry.

Two-stage network structures with undesirable outputs: A DEA based approach

Measurement ◽  
2014 ◽  
Vol 48 ◽  
pp. 109-118 ◽  
Author(s):  
Mahnaz Maghbouli ◽  
Alireza Amirteimoori ◽  
Sohrab Kordrostami
Keyword(s):  
Undesirable Outputs ◽  
Network Structures ◽  
Two Stage

Measuring performance of two-stage network structures by DEA: A review and future perspective

Omega ◽  
2010 ◽  
Vol 38 (6) ◽  
pp. 423-430 ◽  
Author(s):  
Wade D. Cook ◽  
Liang Liang ◽  
Joe Zhu
Keyword(s):  
Future Perspective ◽  
Network Structures ◽  
Two Stage
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