Analysis of Digital Green Innovation Based on Schweizer–Sklar Prioritized Aggregation Operators for Interval-Valued Picture Fuzzy Supply Chain Management

Zeeshan Ali; Usama  Rehman

doi:10.47852/bonviewJCCE42022468

Authors

Zeeshan Ali Department of Mathematics and Statistics, Riphah International University Islamabad, Pakistan https://orcid.org/0000-0001-5878-714X
Usama Rehman Department of Mathematics and Statistics, Riphah International University Islamabad, Pakistan https://orcid.org/0009-0001-8171-1992

DOI:

https://doi.org/10.47852/bonviewJCCE42022468

Keywords:

interval-valued picture fuzzy sets, Schweizer–Sklar prioritized aggregation operators, supply chain management, decision-making problems

Abstract

Digital green innovation economics and management for Industry 5.0 was not widely recognized, and the commonly referenced industry paradigm was Industry 4.0. Furthermore, digital green innovation is part ofthe above information referring to the integration of digital technologies with environmentally sustainable practices to develop innovative solutions that evaluate ecological challenges. In this manuscript, we evaluate the Schweizer–Sklar operational laws based on interval-valued picture fuzzy (IVPF) values. Further, we investigate prioritized aggregation operators based on Schweizer–Sklar operational laws for IVPF information, called IVPF Schweizer–Sklar prioritized averaging operator, IVPF Schweizer–Sklar prioritized geometric operator, IVPF Schweizer–Sklar prioritized weighted averaging operator, and IVPF Schweizer–Sklar prioritized weighted geometric operator. Some properties for the above-initiated operators are also derived. Additionally, we analyze the digital green innovation with the help of multi-attribute decision-making technique for initiated operators to show the reliability and supremacy of the proposed theory. Finally, we demonstrate examples for addressing the comparison among the initiated theory and existing ideas to improve the worth of the derived theory.

Received: 26 January 2024 | Revised: 18 March 2024 | Accepted: 28 March 2024

Conflicts of Interest

The authors declare that they have no conflicts of interest to this work.

Data Availability Statement

Data available on request from the corresponding author upon reasonable request.

Author Contribution Statement

Zeeshan Ali: Conceptualization, Methodology, Software, Validation, Formal analysis, Investigation, Resources, Data curation, Writing – original draft, Writing – review & editing, Visualization, Supervision, Project administration, Funding acquisition. Usama Rehman: Validation, Formal analysis, Investigation, Resources, Data curation, Writing – review & editing, Visualization.