@Article{10798587.2017.1327551, AUTHOR = {Ll M. Zeinlov, O. H. Huseynov, P. Shrghi}, 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} }