An Advanced Study on the Bonferroni Mean Operators for Managing Cubic Intuitionistic Complex Fuzzy Soft Settings and Their Applications in Decision Making

The main influence of this analysis is to initiate the fundamental theory of cubic intuitionistic complex fuzzy soft (CICFS) information which is a very informative and effective tool for handling ambiguity and complications in reality. Further, in the consideration of CICFS information, we utilized...

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Bibliographic Details
Published in:IEEE access 2022, Vol.10, p.58689-58721
Main Authors: Mahmood, Tahir, Ali, Zeeshan, Rehman, Ubaid Ur, Aslam, Muhammad
Format: Article
Language:English
Subjects:
Bonferroni mean operators
cubic intuitionistic complex fuzzy soft settings
Decision analysis
Decision making
decision-making techniques
Fuzzy sets
Graphical representations
Operators
Pattern recognition
Reliability analysis
Reliability theory
Set theory
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Summary:The main influence of this analysis is to initiate the fundamental theory of cubic intuitionistic complex fuzzy soft (CICFS) information which is a very informative and effective tool for handling ambiguity and complications in reality. Further, in the consideration of CICFS information, we utilized the important algebraic laws, score value, and accuracy value and try to determine some rules for finding the relation between any CICFS numbers. Moreover, by using the presented information, we diagnosed the CICFS Bonferroni mean (CICFSBM) operator, CICFS weighted Bonferroni mean (CICFSWBM) operator and evaluated their important results, and described their important properties (Idempotency, Monotonicity, and Boundedness). Finally, to evaluate deficiencies with the help of invented operators, we established a MADM ("multi-attribute decision-making") tool under the availability of CICFSBM, CICFSWBM operators. Finally, we described the supremacy and reliability of the diagnosed work with the help of comparative analysis and also explained their graphical representation to enhance the worth of the established approaches.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2022.3169862