Multi-Attribute Multi-Perception Decision-Making Based on Generalized T-Spherical Fuzzy Weighted Aggregation Operators on Neutrosophic Sets
The framework of the T-spherical fuzzy set is a recent development in fuzzy set theory that can describe imprecise events using four types of membership grades with no restrictions. The purpose of this manuscript is to point out the limitations of the existing intuitionistic fuzzy Einstein averaging...
Main Authors: | Shio Gai Quek, Ganeshsree Selvachandran, Muhammad Munir, Tahir Mahmood, Kifayat Ullah, Le Hoang Son, Pham Huy Thong, Raghvendra Kumar, Ishaani Priyadarshini |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-08-01
|
Series: | Mathematics |
Subjects: | |
Online Access: | https://www.mdpi.com/2227-7390/7/9/780 |
Similar Items
-
Some Results on the Graph Theory for Complex Neutrosophic Sets
by: Shio Gai Quek, et al.
Published: (2018-05-01) -
Entropy Measures for Plithogenic Sets and Applications in Multi-Attribute Decision Making
by: Shio Gai Quek, et al.
Published: (2020-06-01) -
T-Spherical Fuzzy Einstein Hybrid Aggregation Operators and Their Applications in Multi-Attribute Decision Making Problems
by: Muhammad Munir, et al.
Published: (2020-03-01) -
A Novel Neutrosophic Data Analytic Hierarchy Process for Multi-Criteria Decision Making Method: A Case Study in Kuala Lumpur Stock Exchange
by: Desmond Jun Yi Tey, et al.
Published: (2019-01-01) -
Some Results on Single Valued Neutrosophic Hypergroup
by: S. Rajareega, et al.
Published: (2020-01-01)