Triangular Expanding, A New Defuzzification Method on Ordered Fuzzy Numbers

被引:2
|
作者
Dobrosielski, Wojciech T. [1 ]
Czerniak, Jacek M. [1 ]
Szczepanski, Janusz [2 ]
Zarzycki, Hubert [3 ]
机构
[1] Casimir Great Univ Bydgoszcz, Inst Technol, Ul Chodkiewicza 30, PL-85064 Bydgoszcz, Poland
[2] Polish Acad Sci Warsaw, Inst Fundamental Technol Res, Ul Pawinskiego 5B, PL-02106 Warsaw, Poland
[3] Wroclaw Sch Informat Technol, Ul Wejherowska 28, PL-54239 Wroclaw, Poland
关键词
Fuzzy logic; Ordered fuzzy numbers; ROUGH SETS; PEOPLE; SOLVE;
D O I
10.1007/978-3-319-66830-7_54
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
At the beginning of the article the authors describe a new trend in the artificial intelligence, associated with fuzzy sets and the accompanying derivative solutions which may include L-R numbers by Dubois and Prade. On their basis the redefined theory has started a new trend in the form of ordered fuzzy numbers (OFN). Main features of ordered fuzzy numbers further in this article. Due to the nature of this article, which is related to the proposed defuzzyfication method, the authors mentions a fuzzy controller model and in particular the defuzzyfication process. Criteria used for conventional solutions of fuzzy numbers and ordered fuzzy numbers were also presented. In the further part of the article the defuzzyfication method called Triangular Expanding was presented. The author compared it to the Geometrical Mean method introduced earlier, which inspired his solution. Results of comparison with other methods such as FOM, LOM, COG were presented in the paper as well. The summary including conclusions and directions of further research were provided at the end.
引用
收藏
页码:605 / 619
页数:15
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