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An optimization strategy with SV-neutrosophic quaternion information and probabilistic hesitant fuzzy rough Einstein aggregation operator
Jia-Bao Liu
Rashad Ismail
Muhammad Kamran
Esmail Hassan Abdullatif Al-Sabri
Shahzaib Ashraf
Ismail Naci Cangul
出版
Infinite Study
, 2023-01-01
主題
Mathematics / Set Theory
URL
http://books.google.com.hk/books?id=tv7lEAAAQBAJ&hl=&source=gbs_api
EBook
SAMPLE
註釋
The single valued neutrosophic probabilistic hesitant fuzzy rough Einstein aggregation operator (SV-NPHFRE-AO) is an extension of the neutrosophic probabilistic hesitant fuzzy rough set theory. It is a powerful decision-making tool that combines the concepts of neutrosophic logic, probability theory, hesitant fuzzy sets, rough sets, and Einstein aggregation operators. SV-NPHFREAO can be applied in many fields, including livestock decision making. Making judgments about a wide range of issues, including feed formulation, breeding program design, disease diagnostics, and market analysis, is part of the process of managing livestock. By combining data from many sources, SV-NPHFRE-AO can assist decision-makers in livestock management in integrating and evaluating diverse criteria, which can result in more informed choices. It also provides a more accurate and comprehensive representation of decision-making problems by considering the multiple criteria involved and the relationships between them.