A novel approach to decision making in rice quality management using interval-valued Pythagorean fuzzy Schweizer and Sklar power aggregation operators

The Pythagorean fuzzy set and interval-valued intuitionistic fuzzy set are the basis of the interval-valued Pythagorean fuzzy set (IVPFS) which offers an effective approach to addressing the complex uncertainty in decision-analysis processes, making it applicable across a broad spectrum of applicati...

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Bibliographic Details
Published in:PloS one 2024-10, Vol.19 (10), p.e0311525
Main Authors: Wang, Ying, Khalid, Usman, Ali, Jawad, Binyamin, Muhammad Ahsan
Format: Article
Language:English
Subjects:
Accuracy
Agricultural research
Agriculture - methods
Analysis
Biology and Life Sciences
Comparative analysis
Computer and Information Sciences
Crop yield
Decision Making
Ecology and Environmental Sciences
Fuzzy algorithms
Fuzzy Logic
Fuzzy sets
Fuzzy systems
Information processing
Methods
Norms
Operators
Oryza
People and Places
Quality control
Quality management
Research and Analysis Methods
Resource utilization
Rice
Social Sciences
Uncertainty analysis
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Summary:The Pythagorean fuzzy set and interval-valued intuitionistic fuzzy set are the basis of the interval-valued Pythagorean fuzzy set (IVPFS) which offers an effective approach to addressing the complex uncertainty in decision-analysis processes, making it applicable across a broad spectrum of applications. This paper introduces several aggregation operators within the IVPF framework, such as the interval-valued Pythagorean fuzzy SS power weighted average operator, and the interval-valued Pythagorean fuzzy SS power geometric operator using the notion of power aggregation operators through Schweizer and Sklar (SS) operations. The existence of SS t-norms and t-conorms in the IVPF framework for addressing multi-attribute decision-making problems gives the generated operator's ability to make the information aggregation approach more adaptable compared to other current ones. The application of the proposed approach holds the potential to enhance crop yield, optimize resource utilization, and contribute to the overall sustainability of agriculture. Additionally, sensitivity and comparative analyses are provided to clarify the stability and dependability of the results acquired through this approach.
ISSN:1932-6203
1932-6203
DOI:10.1371/journal.pone.0311525