@inproceedings{5e8f30c849e24357a85885fdc8affcee,
title = "A New Method for Ranking Discrete Z-number",
abstract = "Comparing two or more fuzzy numbers and ordering them is an important topic in fuzzy theory. Z-number as a kind of fuzzy number that can effectively reflect the real world, after Zadeh proposed Z-number, the research on the ranking of Z-numbers has also received much attention. So the ranking of discrete Z-number is a necessary operation in Z-number arithmetic and has important practical significance. In this paper, we propose a new discrete Z-numbers ordering method. Our method is achieved by transforming discrete Z-number into common discrete fuzzy number and then comparing the magnitude of the transformed discrete fuzzy number. Finally, we present an example to illustrate this approach.",
keywords = "Decision making, Discrete Z-number, Fuzzy set, Ranking of Z-number",
author = "Yuming Gong and Xiang Li and Wen Jiang",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 32nd Chinese Control and Decision Conference, CCDC 2020 ; Conference date: 22-08-2020 Through 24-08-2020",
year = "2020",
month = aug,
doi = "10.1109/CCDC49329.2020.9164654",
language = "英语",
series = "Proceedings of the 32nd Chinese Control and Decision Conference, CCDC 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3591--3596",
booktitle = "Proceedings of the 32nd Chinese Control and Decision Conference, CCDC 2020",
}