Simple Arithmetic Operations of Z-Numbers Based on Kernel Distribution Function
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Date
Journal Title
Journal ISSN
Volume Title
Publisher
Springer Science and Business Media Deutschland GmbH
Access Rights
info:eu-repo/semantics/closedAccess
Abstract
Z-numbers are an important tool for representing uncertain and partially reliable information. Zadeh mentioned that one of the main problems is related to computational complexity that arises when a series of Z-numbers is considered. To address this problem, an approximate calculation for Z-numbers based on kernel density estimation is used. Numerical examples are provided for illustration purpose. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.
Description
12th International Conference on Theory and Application of Soft Computing, Computing with Words and Perception and Artificial Intelligence, ICSCCW 2024 -- 2024-08-26 through 2024-08-27 -- Budva -- 341469
Keywords
fuzzy number, kernel distribution function, reliability, Z-number
Journal or Series
Lecture Notes in Networks and Systems
WoS Q Value
Scopus Q Value
Volume
1622 LNNS










