Order-α CQ Divergence Measures and Aggregation Operators Based on Complex q-Rung Orthopair Normal Fuzzy Sets and Their Application to Multi-Attribute Decision-Making-Reference-Cited by-同舟云学术

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Order-α CQ Divergence Measures and Aggregation Operators Based on Complex q-Rung Orthopair Normal Fuzzy Sets and Their Application to Multi-Attribute Decision-Making

Published:2021 Issue:1 Volume:14 Page:1895
ISSN:1875-6883
Container-title:International Journal of Computational Intelligence Systems
language:en
Short-container-title:IJCIS

Author:

Ali Zeeshan,Mahmood Tahir,Gumaei Abdu

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,General Computer Science

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Q-rung orthopair normal fuzzy Maclaurin symmetric mean aggregation operators based on Schweizer-Skla operations;Advances in Mechanical Engineering;2023-08

2. A q-rung orthopair fuzzy combined compromise solution approach for selecting sustainable third-party reverse logistics provider;Management Decision;2022-12-16

3. Aggregation operators and CRITIC‐VIKOR method for confidence complex q‐rung orthopair normal fuzzy information and their applications;CAAI Transactions on Intelligence Technology;2022-11-08

4. Fuzzy covering-based rough set on two different universes and its application;Artificial Intelligence Review;2022-01-17

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