@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} }