Uncertain Reasoning Algorithm Under the Hesitant Fuzzy Environment

2021 ◽  
pp. 49-81
Author(s):  
Chenyang Song ◽  
Zeshui Xu
2014 ◽  
Vol 989-994 ◽  
pp. 1770-1774
Author(s):  
Ye Hong Han ◽  
Ke Tan Chen ◽  
Heng Shao ◽  
Lin Du

An algorithm of uncertain reasoning which more than one result of a new object can be obtained according to the known knowledge is an important part of an expert system. A new object is an especial decision rule which has only a predecessor. In order to resolve the problem that the differences of attributes’ importance in the new object are not considered in traditional methods of uncertain reasoning, a new uncertain reasoning algorithm based on the rules set which is obtained on the basis of the rough set theory is proposed. In the algorithm, both subjective factors and objective factors in the process of reasoning are considered, and the proportion of subjective factors to objective factors can be controlled by users. So the algorithm is better than the tradition method in flexibility and practicability.


2020 ◽  
Vol 54 (6) ◽  
pp. 1775-1791
Author(s):  
Nazila Aghayi ◽  
Samira Salehpour

The concept of cost efficiency has become tremendously popular in data envelopment analysis (DEA) as it serves to assess a decision-making unit (DMU) in terms of producing minimum-cost outputs. A large variety of precise and imprecise models have been put forward to measure cost efficiency for the DMUs which have a role in constructing the production possibility set; yet, there’s not an extensive literature on the cost efficiency (CE) measurement for sample DMUs (SDMUs). In an effort to remedy the shortcomings of current models, herein is introduced a generalized cost efficiency model that is capable of operating in a fuzzy environment-involving different types of fuzzy numbers-while preserving the Farrell’s decomposition of cost efficiency. Moreover, to the best of our knowledge, the present paper is the first to measure cost efficiency by using vectors. Ultimately, a useful example is provided to confirm the applicability of the proposed methods.


2007 ◽  
Vol 12 (02) ◽  
Author(s):  
A. Terceño Gómez ◽  
A. Fernández Bariviera ◽  
J. M. Brotons Martí­nez

2021 ◽  
Vol 305 ◽  
pp. 127093
Author(s):  
Yao Tao ◽  
Yunna Wu ◽  
Jianli Zhou ◽  
Man Wu ◽  
Shiman Wang ◽  
...  

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