@Article{10798587.2017.1327551,
AUTHOR = {Lala M. Zeinalova, O. H. Huseynov, P. Sharghi},
TITLE = {A Z-Number Valued Regression Model and Its Application},
JOURNAL = {Intelligent Automation \& Soft Computing},
VOLUME = {24},
YEAR = {2018},
NUMBER = {1},
PAGES = {187--192},
URL = {http://www.techscience.com/iasc/v24n1/39743},
ISSN = {2326-005X},
ABSTRACT = {Regression analysis is widely used for modeling of real-world processes in various fields. It should be 
noted that information relevant to real-world processes is characterized by imprecision and partial 
reliability. This involves combination of fuzzy and probabilistic uncertainties. Prof.. L. Zadeh introduced 
the concept of a Z-number as a formal construct for dealing with such information. The present stateof-the-art of regression analysis under Z-number valued information is very scarce. In this paper we 
consider a Z-number valued multiple regression analysis and its application to a real-world decisionmaking problem. The obtained results show applicability of the proposed approach.},
DOI = {10.1080/10798587.2017.1327551}
}