Selecting sustainable waste-to-energy technologies for municipal solid waste treatment: a game theory approach for group decision-making

2016 ◽  
Vol 113 ◽  
pp. 388-399 ◽  
Author(s):  
Atousa Soltani ◽  
Rehan Sadiq ◽  
Kasun Hewage
Keyword(s):  
Game Theory ◽  
Decision Making ◽  
Municipal Solid Waste ◽  
Group Decision Making ◽  
Waste Treatment ◽  
Group Decision ◽  
Waste To Energy ◽  
Theory Approach ◽  
Energy Technologies ◽  
Solid Waste Treatment

scholarly journals A Competitive Multiattribute Group Decision-Making Approach for the Game between Manufacturers

2019 ◽  
Vol 2019 ◽  
pp. 1-16
Author(s):  
Quan Zhang ◽  
KeXin Jiang ◽  
ManTing Yan ◽  
JiYun Ma
Keyword(s):  
Game Theory ◽  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Evidence Theory ◽  
Practical Case ◽  
Game Matrix ◽  
Decision Making Problem ◽  
Dimension 2 ◽  
Evaluation Information

Under the competitive market environment, the game between manufacturers comes down to the competitive multiattribute group decision-making problem. In this study, the evaluation information of experts is given in the form of 2-dimension 2-tuple linguistic variables, and an approach is proposed for the competitive multiattribute group decision-making problem based on game theory and evidence theory. Firstly, based on the evidence theory, the attribute values of each situation are obtained by aggregating the 2-dimension 2-tuple linguistic evaluation information given by experts. Secondly, according to the attribute values of every situation, the evidence theory is applied for the second aggregation to obtain the overall values of every situation, and then the game matrix of competitive multiattribute group decision problem is formed. Then, according to the bivariate game matrix, the Nash equilibrium point of competitive multiattribute group decision-making problem is determined based on game theory. Finally, a practical case about the alternative selections for a duopoly problem is used to illustrate the effectiveness and applicability of the proposed approach for the competitive multiattribute group decision-making problem.

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