Evaluation of Artificial Intelligence-Based Solid Waste Segregation Technologies through Multi-Criteria Decision-Making and complex q-rung picture fuzzy Frank aggregation operators-Reference-Cited by-同舟云学术

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Evaluation of Artificial Intelligence-Based Solid Waste Segregation Technologies through Multi-Criteria Decision-Making and complex q-rung picture fuzzy Frank aggregation operators

Published:2024-07 Issue: Volume:133 Page:108154
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

M. Fathima Banu^ORCID,Petchimuthu Subramanian^ORCID,Kamacı Hüseyin,Senapati Tapan^ORCID

Publisher

Elsevier BV

Reference120 articles.

1. AI-driven smart bin for waste management;Abeygunawardhana,2020

2. A hybrid decision-making analysis under complex q-rung picture fuzzy Einstein averaging operators;Akram;Comput. Appl. Math.,2021

3. Decision-making model under complex picture fuzzy hamacher aggregation operators;Akram;Comput. Appl. Math.,2020

4. Complex pythagorean dombi fuzzy operators using aggregation operators and their decision-making;Akram;Expert Syst.,2021

5. An extended Marcos method for MCGDM under a 2-tuple linguistic Q-rung picture fuzzy environment;Akram;Eng. Appl. Artif. Intell.,2023

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1. A picture fuzzy multi-attribute decision-making approach based on Hamacher Muirhead mean operators;Granular Computing;2024-06-08

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