Some new dual hesitant fuzzy linguistic operators based on Archimedean t-norm and t-conorm

7Citations
Citations of this article
4Readers
Mendeley users who have this article in their library.
Get full text

Abstract

This paper extends Archimedean t-norm and t-conorm to aggregate the dual hesitant fuzzy linguistic information. Firstly, some basic concepts of dual hesitant fuzzy linguistic elements (DHFLEs) and operational rules of Archimedean t-norm and t-conorm are introduced. Secondly, some general operators about the DHFLEs are developed based on Archimedean t-norm and t-conorm, such as the Archimedean t-norm- and t-conorm-based dual hesitant fuzzy linguistic weighted averaging operator, Archimedean t-norm- and t-conorm-based dual hesitant fuzzy linguistic weighted geometric operator, Archimedean t-norm- and t-conorm-based generalized dual hesitant fuzzy linguistic weighted averaging operator, Archimedean t-norm- and t-conorm-based generalized dual hesitant fuzzy weighted geometric operator, which operates without loss of information, and some desirable properties of those new operators are studied in detail. Furthermore, an approach based on the proposed operators under dual hesitant fuzzy linguistic decision-making problem is presented. Finally, an example is used to show the practical advantages of the proposed method and a sensitivity analysis of the decision results is also showed as the parameter changes.

Cite

CITATION STYLE

APA

Zhang, N., Yao, Z., Zhou, Y., & Wei, G. (2019). Some new dual hesitant fuzzy linguistic operators based on Archimedean t-norm and t-conorm. Neural Computing and Applications, 31(11), 7017–7040. https://doi.org/10.1007/s00521-018-3534-x

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free