2021
DOI: 10.1007/s40815-020-01043-0
|View full text |Cite
|
Sign up to set email alerts
|

An Improved Similarity Measure for Generalized Trapezoidal Fuzzy Numbers and Its Application in the Classification of EEG Signals

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2022
2022
2023
2023

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(1 citation statement)
references
References 30 publications
0
1
0
Order By: Relevance
“…As shown in Figure 1, assuming that the trapezoid ABCD represents the membership function of a q-ROTrFN a~=false(a¯,a1,a2,a¯; utruea~,vtruea~false) and trapezoid EFGH represents the non-membership function. From Ref (Qi, 2021), the position of P is obtained by Equations (19) and (20).…”
Section: Q-rung Orthopair Trapezoidal Fuzzy Similarity Measurementioning
confidence: 99%
“…As shown in Figure 1, assuming that the trapezoid ABCD represents the membership function of a q-ROTrFN a~=false(a¯,a1,a2,a¯; utruea~,vtruea~false) and trapezoid EFGH represents the non-membership function. From Ref (Qi, 2021), the position of P is obtained by Equations (19) and (20).…”
Section: Q-rung Orthopair Trapezoidal Fuzzy Similarity Measurementioning
confidence: 99%