A neutrosophic open set–based multi-criteria decision framework for sustainable lithium-ion battery waste management under uncertainty
不確実性下における持続可能なリチウムイオンバッテリー廃棄物管理のためのニュートロソフィック開集合に基づく多基準意思決定フレームワーク (AI 翻訳)
Das, Suman, Sinha, Kalyan, Das, Rakhal, Pramanik, Surapati
🤖 gxceed AI 要約
日本語
本論文は、リチウムイオンバッテリー廃棄物管理戦略の評価のため、ニュートロソフィック開集合に基づく多基準意思決定（MCDM）フレームワークを提案する。提案手法は不確実性を扱うためにニュートロソフィック位相を統合し、機械的・化学的リサイクル、埋め立て、乾式冶金回収を比較した結果、リサイクル戦略が最も持続可能であることを示した。感度分析によりランキングの頑健性を確認している。
English
This paper proposes a neutrosophic open set-based multi-criteria decision-making (MCDM) framework for evaluating sustainable lithium-ion battery waste management strategies under uncertainty. The methodology integrates neutrosophic topology to handle uncertainty and is applied to compare mechanical/chemical recycling, landfill, and pyrometallurgical recovery, consistently identifying recycling as the most sustainable option. Sensitivity analysis confirms ranking robustness.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本はEV・蓄電池のリサイクル義務化やバッテリーサーキュラーエコノミー推進を進めており、本フレームワークは廃棄物管理戦略の定量的評価に寄与する。特に、不確実性下での意思決定を支援する点が実務上有用である。
In the global GX context
As global EV and battery storage adoption grows, sustainable end-of-life management is critical. This framework provides a rigorous decision-support tool for evaluating recycling vs. disposal strategies, relevant to circular economy policies like the EU Battery Regulation and Japan's battery recycling mandates.
👥 読者別の含意
🔬研究者:Provides a novel integration of neutrosophic topology into MCDM for sustainability assessment, advancing decision science under uncertainty.
🏢実務担当者:Offers a practical, robust framework for battery recyclers and waste managers to compare strategies across multiple criteria.
🏛政策担当者:Supports evidence-based policy design for battery waste governance and circular economy targets.
📄 Abstract（原文）
This chapter introduces a novel neutrosophic open set–based multi-criteria decision-making (MCDM) framework for evaluating sustainable lithium-ion battery (LIB) waste management strategies under uncertainty. Motivated by the increasing environmental challenges associated with end-of-life battery disposal in electric vehicles and renewable energy systems, the proposed methodology integrates single-valued neutrosophic sets (SVNSs) and neutrosophic topology to represent uncertainty, inconsistency, and incomplete expert knowledge through independent truth, indeterminacy, and falsity membership functions . Unlike conventional fuzzy and intuitionistic fuzzy approaches, the framework employs neutrosophic open sets as flexible sustainability regions , allowing decision alternatives to exhibit graded memberships across overlapping environmental and regulatory criteria. A mathematically bounded criterion-weighted neutrosophic aggregation function is developed to evaluate alternatives, and its theoretical robustness is established through formal proofs of boundedness, monotonicity, convexity, consistency under trivial uncertainty, and topological consistency . To validate feasibility and practical applicability, the model is applied to a comparative sustainability assessment of mechanical and chemical recycling, landfill disposal, and pyrometallurgical recovery for lithium-ion battery waste management under multiple criteria, including economic feasibility, environmental safety, technological maturity, and regulatory compliance . A comprehensive sensitivity analysis under varying decision-maker preference weights confirms ranking stability and robustness across scenarios, consistently identifying recycling-based strategies as the most sustainable option . The proposed framework advances neutrosophic decision science by introducing a structural topological layer into MCDM and provides a resilient, interpretable, and mathematically rigorous decision-support mechanism for environmental sustainability, circular economy planning, waste governance, and technology evaluation under uncertainty.
🔗 Provenance — このレコードを発見したソース
- Zenodo https://zenodo.org/records/20426772first seen 2026-05-29 04:14:37 · last seen 2026-05-31 04:14:05
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