Journal
CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES
Volume 129, Issue 2, Pages 849-880Publisher
TECH SCIENCE PRESS
DOI: 10.32604/cmes.2021.016727
Keywords
CTSDHULSs; Muirhead mean operators; MADM; enterprise informatization level evaluation
Ask authors/readers for more resources
This manuscript introduces the theory of complex T-spherical dual hesitant uncertain linguistic set, which combines three different ideas. Various mean operators are proposed and a multi-attribute decision making technique is explored. Through comparative analysis and advantage display, it is demonstrated that the new methods are more flexible and effective.
In this manuscript, the theory of complex T-spherical dual hesitant uncertain linguistic set is discovered, which is the mixture of three different ideas like the complex T-spherical fuzzy set, dual hesitant fuzzy set, and uncertain linguistic set. The complex T-spherical dual hesitant uncertain linguistic set composes the uncertain linguistic set, truth grade, abstinence grade, and falsity grade. Whose real and imaginary parts are the subset of a unit interval, and some of their operational laws are also presented. The theory of complex T-spherical dual hesitant uncertain linguistic Muirhead mean operator, complex T-spherical dual hesitant uncertain linguistic weighted Muirhead mean operator, complex T-spherical dual hesitant uncertain linguistic dual Muirhead mean operator and complex T-spherical dual hesitant uncertain linguistic weighted dual Muirhead mean operator are discovered. Some exceptional cases of the proposed operators are also examined. A multi-attribute decision making technique is further utilized based on explored operators. Moreover, an enterprise informatization level evaluation issue is resolved by using the presented operators to verify the proficiency and capability of the discovered approaches. Finally, some comparative analysis and advantages of the explored works are further developed to express that it is more flexible and effective than the existing methods.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available