Converting Z-number to Fuzzy Number using Fuzzy Expected Value
Year: 2017
Journal of Information and Computing Science, Vol. 12 (2017), Iss. 4 : pp. 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.
Journal Article Details
Publisher Name: Global Science Press
Language: English
DOI: https://doi.org/2024-JICS-22472
Journal of Information and Computing Science, Vol. 12 (2017), Iss. 4 : pp. 291–303
Published online: 2017-01
AMS Subject Headings:
Copyright: COPYRIGHT: © Global Science Press
Pages: 13