Enhanced multi-attribute decision-making method to analyze renewable energy sources for sustainable transportation by synergizing the cubic set with picture fuzzy hypersoft sets
持続可能な交通のための再生可能エネルギー源を分析する拡張多属性意思決定法：キュービック集合とピクチャファジーハイパーソフト集合の統合 (AI 翻訳)
Muhammad Sajid, Khuram Ali Khan, Atiqe Ur Rahman, Rostin Matendo Mabela
🤖 gxceed AI 要約
日本語
本研究は、パキスタンの持続可能な交通への移行を目的に、太陽光・風力・水力などの再生可能エネルギー源を評価する新しい意思決定手法を提案する。キュービックピクチャファジーハイパーソフト集合（CPFHSS）を用いて、複数基準と専門家判断を統合し、楽観的・悲観的視点を考慮する。ケーススタディで最適なエネルギー源をランク付けする。
English
This study proposes a novel decision-making method for evaluating renewable energy sources (solar, wind, hydropower) for sustainable transportation in Pakistan. Using cubic picture fuzzy hypersoft sets (CPFHSSs), it integrates expert judgments across multiple criteria, considering optimistic and pessimistic perspectives. A case study ranks the most suitable energy sources.
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
日本では再生可能エネルギー選択の意思決定にファジー集合を用いる研究はあるが、本手法は交通部門への応用が特徴。日本の自治体や企業がエネルギー源選定の際の参考になる可能性がある。
In the global GX context
This paper contributes to global literature on multi-criteria decision-making for renewable energy selection, particularly in the context of sustainable transportation. It offers a methodological framework that could be adapted to other regions, though its empirical focus is on Pakistan.
👥 読者別の含意
🔬研究者:Provides a methodological extension of fuzzy set theory for energy decision-making, useful for scholars in operations research and sustainability.
🏢実務担当者:Offers a structured approach for evaluating renewable options, though practical applicability may require adaptation to specific contexts.
🏛政策担当者:Highlights the importance of systematic evaluation in energy transition planning, relevant for developing countries.
📄 Abstract（原文）
Due to increasing environmental degradation, urban air pollution, and energy instability, the Government of Pakistan is focusing on transitioning to cleaner and more sustainable transportation options. While biofuels have often been seen as a partial substitute, their long-term environmental and economic sustainability is limited. Problems such as land use conflicts, food security concerns, and minimal carbon reduction highlight the need for a systematic shift to renewable energy sources like solar, wind, and hydropower. These alternatives offer greater sustainability, lower carbon footprints, and support Pakistan's national climate goals and energy diversification strategies. This research introduces a new approach to decision-making on green energy options using cubic picture fuzzy hypersoft sets (CPFHSSs), which effectively manage the ambiguity and complexity involved in the evaluation process. The decision-making method applies OR and AND operations of the CPFHSSs to combine expert judgments across multiple criteria, considering both optimistic and pessimistic perspectives in the final evaluation. The methodology is demonstrated through a case study based on recent official guidance to identify and rank the most suitable renewable energy sources for sustainable transportation in Pakistan.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1038/s41598-026-50529-8first seen 2026-07-03 04:45:16
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