Evidence map›Paper›PMID 39446704›Full record

ArticlePloS one2024

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

Ying Wang, Usman Khalid, Jawad Ali, Muhammad Ahsan Binyamin

Abstract read
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Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Ying WangSoftware Engineering Institute of Guangzhou, Guangzhou, China.
Usman KhalidDepartment of Mathematics, Government College University Faisalabad, Pakistan.
Jawad AliDepartment of Mathematics, Quaid-i-Azam University, Islamabad, Pakistan.
Muhammad Ahsan BinyaminDepartment of Mathematics, Government College University Faisalabad, Pakistan.ORCID 0000-0003-0717-7557

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Decision MakingFuzzy LogicOryzaAgriculture

Identifiers

PMID39446704
PMCPMC11500917

What OpenQuestion holds

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.