cooperative fuzzy games
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2018 ◽  
Vol 349 ◽  
pp. 23-41 ◽  
Author(s):  
Qianqian Kong ◽  
Hao Sun ◽  
Genjiu Xu ◽  
Dongshuang Hou

2016 ◽  
Vol 33 (01) ◽  
pp. 1650007 ◽  
Author(s):  
Fanyong Meng ◽  
Xiaohong Chen

In this paper, a new class of cooperative fuzzy games named fuzzy games with convex combination form is introduced. This kind of fuzzy games considers two aspects of information. One is the contribution of the players to the associated crisp coalitions; the other is their participation levels. The explicit expression of the Shapley function is given, which is equal to the production of the Shapley function on crisp games and the player participation levels. Meanwhile, the relationship between the fuzzy core and the Shapley function is studied. Surprisingly, the relationship between them does coincide as in crisp case. Furthermore, some desirable properties are researched. Finally, an example is provided to illustrate the difference in fuzzy coalition values and the player Shapley values for four types of fuzzy games.


2015 ◽  
Vol 16 (1) ◽  
pp. 1-24 ◽  
Author(s):  
Fanyong Meng ◽  
Xiaohong Chen ◽  
Chunqiao Tan

Author(s):  
Fan Yong Meng ◽  
Qiang Zhang ◽  
Feng Liu

2014 ◽  
Vol 2014 ◽  
pp. 1-9
Author(s):  
Zhihui Yang ◽  
Yizeng Chen ◽  
Yunqiang Yin

Quality function deployment (QFD) can provide a means of translating customer requirements (CRs) into engineering characteristics (ECs) for each stage of product development and production. The main objective of QFD-based product planning is to determine the target levels of ECs for a new product or service. QFD is a breakthrough tool which can effectively reduce the gap between CRs and a new product/service. Even though there are conflicts among some ECs, the objective of developing new product is to maximize the overall customer satisfaction. Therefore, there may be room for cooperation among ECs. A cooperative game framework combined with fuzzy set theory is developed to determine the target levels of the ECs in QFD. The key to develop the model is the formulation of the bargaining function. In the proposed methodology, the players are viewed as the membership functions of ECs to formulate the bargaining function. The solution for the proposed model is Pareto-optimal. An illustrated example is cited to demonstrate the application and performance of the proposed approach.


2013 ◽  
Vol 231 ◽  
pp. 95-107 ◽  
Author(s):  
Xiaodong Liu ◽  
Jiuqiang Liu ◽  
Cui Li

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