A Robust Decision-Making Approach for Supplier Selection Using Complex Picture Fuzzy Information Involving Prioritization of Attributes

نویسندگان

چکیده

To reduce the risk and interruptions of supply chain, some appropriate aggregation operators are used to deal with crucial challenges keep support system reliable. In this article, we explore notion complex picture fuzzy (CPF) set (CPFS), a wider framework sets. Some robust operations Aczel Alsina tools characterized based on CPF information overcome impact uncertain imprecision situations. We also explain an innovative concept prioritized (AOs) in light information. The theory unknown weight vectors is develop new approaches environments, including average (CPFAPA) geometric (CPFAPG) operators. propose class methodologies under considering information, such as weighted (CPFAPWA) (CPFAPWG) illustrate flexibility our invented methodologies, characteristics proposed demonstrated. multi-attribute decision-making (MADM) technique evaluate many real-life challenges. An algorithm for MADM problem show robustness approaches. By using demonstrate experimental case study choose sustainable supplier agnet practicability consistency by contrasting results existing literature review currently presented methodologies.

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ژورنال

عنوان ژورنال: IEEE Access

سال: 2023

ISSN: ['2169-3536']

DOI: https://doi.org/10.1109/access.2023.3308030