Redirigiendo al acceso original de articulo en 22 segundos...
Inicio  /  Information  /  Vol: 9 Par: 9 (2018)  /  Artículo
ARTÍCULO
TITULO

Hesitant Probabilistic Fuzzy Information Aggregation Using Einstein Operations

Jin Han Park    
Yu Kyoung Park and Mi Jung Son    

Resumen

In this paper, a hesitant probabilistic fuzzy multiple attribute group decision making is studied. First, some Einstein operations on hesitant probability fuzzy elements such as the Einstein sum, Einstein product, and Einstein scalar multiplication are presented and their properties are discussed. Then, several hesitant probabilistic fuzzy Einstein aggregation operators, including the hesitant probabilistic fuzzy Einstein weighted averaging operator and the hesitant probabilistic fuzzy Einstein weighted geometric operator and so on, are introduced. Moreover, some desirable properties and special cases are investigated. It is shown that some existing hesitant fuzzy aggregation operators and hesitant probabilistic fuzzy aggregation operators are special cases of the proposed operators. Further, based on the proposed operators, a new approach of hesitant probabilistic fuzzy multiple attribute decision making is developed. Finally, a practical example is provided to illustrate the developed approach.

 Artículos similares

       
 
Zia Bashir, Yasir Bashir, Tabasam Rashid, Jawad Ali and Wei Gao    
Making decisions are very common in the modern socio-economic environments. However, with the increasing complexity of the social, today?s decision makers (DMs) face such problems in which they hesitate and irresolute to provide their views. To cope with... ver más
Revista: Applied Sciences

 
Jiayao Wang, Olamide Timothy Tawose, Linhua Jiang and Dongfang Zhao    
Automatic cell counting and clustering were performed on the blurred images of cardiomyocytes with different shapes and sizes.
Revista: Applied Sciences

 
Zhongjun Wu, Fangwei Zhang, Jing Sun, Wenjing Wang and Xufeng Tang    
Based on comparative studies on correlation coefficient theory and utility theory, a series of rules that utility functions on dual hesitant fuzzy rough sets (DHFRSs) should satisfy, and a kind of novel utility function on DHFRSs are proposed. The charac... ver más
Revista: Information

 
Ye Mei, Juanjuan Peng and Junjie Yang    
Hesitant fuzzy sets (HFSs), which were generalized from fuzzy sets, constrain the membership degree of an element to be a set of possible values between zero and one; furthermore, if two or more decision-makers select the same value, it is only counted o... ver más
Revista: Information

 
Xiao-Wen Qi, Jun-Ling Zhang and Chang-Yong Liang    
-
Revista: Information