EconPapers    
Economics at your fingertips  
 

Fuzzy Recurrence Plots

Tuan D. Pham ()
Additional contact information
Tuan D. Pham: Prince Mohammad Bin Fahd University, The Center for Artificial Intelligence

Chapter Chapter 4 in Fuzzy Recurrence Plots and Networks with Applications in Biomedicine, 2020, pp 29-55 from Springer

Abstract: Abstract Using the mathematical properties of fuzzy relationsFuzzy relations, the similaritySimilarity between the state vectors of the reconstructed phase spacePhase-space of a time seriesTime series can be naturally determined to establish aFuzzy recurrence plots fuzzy recurrence plotRecurrence plots. As a departure from the construction of a binary recurrence plotRecurrence plots, a fuzzy recurrence plotRecurrence plots is a square grayscale imageGrayscale images whose intensity values are expressed with the complements of the fuzzy membershipFuzzy membership grades. Another advantage of fuzzy recurrence plotsRecurrence plots is that they are richer in textureTexture and can provide better visualizationVisualization than binary recurrence plots. FuzzyCross recurrence plots cross recurrence plotsRecurrence plots and fuzzyFuzzy joint recurrence plots joint recurrence plotsJoint recurrence plots are also presented in this chapter.

Date: 2020
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-37530-0_4

Ordering information: This item can be ordered from
http://www.springer.com/9783030375300

DOI: 10.1007/978-3-030-37530-0_4

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2026-05-20
Handle: RePEc:spr:sprchp:978-3-030-37530-0_4