Autor: |
Lijun Ma, Abrar Hussain, Kifayat Ullah, Sughra Bibi, Shi Yin |
Jazyk: |
angličtina |
Rok vydání: |
2024 |
Předmět: |
|
Zdroj: |
IEEE Access, Vol 12, Pp 25762-25778 (2024) |
Druh dokumentu: |
article |
ISSN: |
2169-3536 |
DOI: |
10.1109/ACCESS.2024.3359903 |
Popis: |
The multi-attribute decision-making (MADM) technique is a dominant process for resolving genuine real-life applications and investigating an ideal solution by considering appropriate criteria or attributes. The operational laws of Schweizer-Sklar t-norms and t-conorms are more feasible aggregation operators to serve this purpose. The prioritized aggregation operators also capture single-term aggregated information from given evidence or collected data. In this article, we explore the theory of the q-rung orthopair fuzzy (q-ROF) information to handle awkward and uncertain information of human opinion. Motivated by the significance of the Schweizer-Sklar t-norms and prioritized aggregation operators, we derive a family of mathematical approaches for q-rung orthopair fuzzy information, including q-rung orthopair fuzzy Schweizer-Sklar prioritized average (q-ROFSSPA), q-rung orthopair fuzzy Schweizer-Sklar prioritized weighted average (q-ROFSSPWA), q-rung orthopair fuzzy Schweizer-Sklar prioritized geometric (q-ROFSSPG) and q-rung orthopair fuzzy Schweizer-Sklar prioritized weighted geometric (q-ROFSSPWG) operators. Some notable properties and characteristics are also explored to show the applicability of developed approaches. An application for improving the economic growth of the agriculture sector and a decision algorithm is also discussed under the q-rung orthopair fuzzy environment. With the help of invented mathematical approaches, we resolved a numerical example to choose a suitable crop under reliable characteristics or attributes. To show the reliability and applicability of initiated methodologies, we demonstrate a comparison technique to contrast the results of pioneered aggregation operators with prevailing strategies in the literature. |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
|