A faster algorithm for identifying signals using complex fuzzy sets

被引：1

作者：

Khan, Madad ^{[1
]}

Khan, Inamullah ^{[1
]}

Fahmi, Aliya ^{[2
]}

Anis, Saima ^{[1
]}

Iqbal, Sohail ^{[3
]}

机构：

[1] COMSATS Univ Islamabad, Dept Math, Abbottabad Campus, Abbottabad, Pakistan

[2] Univ Faisalabad, Dept Math, Faisalabad, Pakistan

[3] COMSATS Univ Islamabad, Dept Math, Islamabad Campus, Islamabad, Pakistan

来源：

SOFT COMPUTING | 2022年 / 26卷 / 15期

关键词：

Fast Fourier transform flow graph; Complex fuzzy sets; Inverse fast Fourier transform; Inverse discrete Fourier transform; Discrete Fourier transform; Discrete Fourier transform matrix;

D O I：

10.1007/s00500-022-07132-6

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, we established some new operations and formulas of set theory for complex fuzzy sets (CFSs). We introduced the basic results of CFSs with their examples using union, intersection, complement, dot product, complex fuzzy probalistic sum, complex fuzzy bold sum, complex fuzzy bold sum over associative law of union, etc. Moreover, we introduced an algorithm to identify a reference signal out of large number of signal having bigger N (Samples) received by a digital receiver. Thus, a new model is introduced for measuring the values of the signals in a faster way using CFSs.

引用

页码：7059 / 7079

页数：21

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