@Article{JICS-12-291,
author = {Mahdieh Akhbari},
title = {Converting Z-number to Fuzzy Number using Fuzzy Expected Value},
journal = {Journal of Information and Computing Science},
year = {2024},
volume = {12},
number = {4},
pages = {291--303},
abstract = {In order to deal with uncertain information of real-world, in 2011 Zadeh suggested the concept 
of a Z-number, as an ordered pair of fuzzy numbers (A ̃,B ̃) that describes the restriction and the reliability of 
the evaluation. Due to the limitation of its basic properties, converting Z-number to classical fuzzy number is 
rather significant for application. In this paper, we will calculate fuzzy expected value of a Z-number with 
assuming  uniform  distribution  and  linear  membership  functions.  This  fuzzy  expected  value  can  be  used 
instead of Z-number in applications. An Example is used to illustrate the procedure of the proposed approach. 
},
issn = {1746-7659},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/jics/22472.html}
}