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<p>The excessive dependence on synthetic materials in our daily lives is increasing continuously, which has resulted in marine debris. The dependency on these materials has raised a serious concern for aquatic ecosystems. This study focuses on addressing the serious issue of the remediation of synthetic debris in marine environments by exploring the ability of algae to decompose polymers. Microalgae have the ability to break down plastic by producing special chemicals (toxins) and enzymes. These enzymes aid in the breakdown of the synthetic polymers into smaller pieces, and the carbon from these materials is eaten by the algae as a food source to support their growth. The main objective of this study is to identify low-impact algae species that are capable of reducing marine debris with minimal disruption to marine life through an integrated hybrid fuzzy multi-criteria decision making (F-MCDM) framework. A case study is shown to illustrate the most effective marine-friendly algae for handling synthetic debris. The proposed study develops methods to deal with uncertain and ambiguous information using the q-rung Fuzzy Set and the Linear Diophantine Fuzzy Set (LDFS). Chlorella vulgaris was ranked top according to the selection parameters out of the criteria and alternatives that were evaluated. The feasibility, reliability, and system’s stability are validated through comparative and sensitivity assessments, emphasizing the applicability of this multi-criteria decision making approach to similar challenges in various circumstances. This study paves the way for environmental researchers, policymakers, and marine conservationists to implement algae-based bioremediation strategies on a broader scale.</p>

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Sustainable marine debris management using a q-rung linear diophantine fuzzy based decision model for polymer absorbing algae

  • 期刊论文

  • 发表日期：

    2026年2月7日

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  • Antony Samy Christina,
  • Samayan Narayanamoorthy,
  • Dragan Pamucar,
  • Geetha Selvaraj,
  • Naif Almakayeel,
  • Michael Sandra,
  • Daekook Kang

摘要

The excessive dependence on synthetic materials in our daily lives is increasing continuously, which has resulted in marine debris. The dependency on these materials has raised a serious concern for aquatic ecosystems. This study focuses on addressing the serious issue of the remediation of synthetic debris in marine environments by exploring the ability of algae to decompose polymers. Microalgae have the ability to break down plastic by producing special chemicals (toxins) and enzymes. These enzymes aid in the breakdown of the synthetic polymers into smaller pieces, and the carbon from these materials is eaten by the algae as a food source to support their growth. The main objective of this study is to identify low-impact algae species that are capable of reducing marine debris with minimal disruption to marine life through an integrated hybrid fuzzy multi-criteria decision making (F-MCDM) framework. A case study is shown to illustrate the most effective marine-friendly algae for handling synthetic debris. The proposed study develops methods to deal with uncertain and ambiguous information using the q-rung Fuzzy Set and the Linear Diophantine Fuzzy Set (LDFS). Chlorella vulgaris was ranked top according to the selection parameters out of the criteria and alternatives that were evaluated. The feasibility, reliability, and system’s stability are validated through comparative and sensitivity assessments, emphasizing the applicability of this multi-criteria decision making approach to similar challenges in various circumstances. This study paves the way for environmental researchers, policymakers, and marine conservationists to implement algae-based bioremediation strategies on a broader scale.