Definite integrals for aggregating continuous interval-valued intuitionistic fuzzy information

2018 ◽  
Vol 70 ◽  
pp. 875-895 ◽  
Author(s):  
Miaomiao Wen ◽  
Hua Zhao ◽  
Zeshui Xu ◽  
Qian Lei
Author(s):  
Shan Yu ◽  
Zeshui Xu

Integration plays a very important role in the fusion methods. In this paper, we put forward the subtraction and division definite integrals based on the fuzzy measure and the admissible order for aggregating not only discrete but also continuous correlative intuitionistic fuzzy information. These definite integrals are implemented by constructing the integrands and the integral limits respectively, and based on which an approach to multi-criteria decision making with correlative intuitionistic fuzzy information is developed. Finally, an illustrative example involving technology improvement of Midwest American Manufacturing Corp is employed to verify the practicality and effectiveness of our approach.


2013 ◽  
Vol 756-759 ◽  
pp. 4694-4698
Author(s):  
You Cheng Wang ◽  
Zhi Gang Ao ◽  
Yun Xiang Gong ◽  
Yu Ying Jiang ◽  
Tong Xing Zhao

For assessing the joint operations command and staff objectively, the paper established a joint command personnel ability evaluation of multilayer index system. In view of the majority of interval-valued intuitionistic fuzzy information that is only used for single layer multi attribute index system. In the case of the two grade index attribute weights unknown, we utilized the score vector projection formula and obtained the pros and cons of the commanders in all levels under the one class index attribute. Finally we apply the ladder structure comprehensive assessment method to get the comprehensive ranking. It provide a certain basis for the selection of the joint operational commanders


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