EconPapers    
Economics at your fingertips  
 

Correlation coefficient evaluation for the fuzzy interval data

Chih-Ching Yang

Journal of Business Research, 2016, vol. 69, issue 6, 2138-2144

Abstract: The issue of evaluating an appropriate correlation with fuzzy data is an important topic in the econometrics and management science, especially when the data sets illustrate uncertainty, inconsistence, and incompleteness. This study extends the concept of Pearson's correlation coefficient to compute the correlation coefficient of the data sets that are fuzzy in nature. However, no common proposal for such extension exists. This study proposes several ways to evaluate the correlation coefficient when the fuzzy data are with interval types. Two empirical studies show that the methods that this study proposes for evaluating the coefficient of fuzzy correlations are useful and efficient from the perspective of econometrics and management.

Keywords: Fuzzy correlation coefficient; Pearson's correlation coefficient; Fuzzy data; Fuzzy correlation with mean and standard deviation (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1) Track citations by RSS feed

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0148296315006463
Full text for ScienceDirect subscribers only

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:eee:jbrese:v:69:y:2016:i:6:p:2138-2144

DOI: 10.1016/j.jbusres.2015.12.021

Access Statistics for this article

Journal of Business Research is currently edited by A. G. Woodside

More articles in Journal of Business Research from Elsevier
Bibliographic data for series maintained by Catherine Liu (repec@elsevier.com).

 
Page updated 2024-02-12
Handle: RePEc:eee:jbrese:v:69:y:2016:i:6:p:2138-2144