Evaluating sustainable energy alternatives for Haryana’s energy transition through an integrated decision-making approach
統合的意志決定アプローチによるハリヤナ州のエネルギー転換のための持続可能なエネルギー代替案の評価 (AI 翻訳)
Shalini Yadav, Vinod Bhatia, Chirag Dhankhar, Kamal Kumar
🤖 gxceed AI 要約
日本語
本研究は、ハリヤナ州のエネルギー転換に向けた持続可能なエネルギー源を評価するため、q-rung orthopair fuzzy set (q-ROFS) に基づく多基準意思決定モデルを提案している。CRITIC法で客観的重みを求め、Hybrid Yager-Power-Weighted CoCoSoアプローチで代替案を順位付けする。結果は政策立案者にとって有効なツールとなることを示している。
English
This paper proposes an integrated multi-criteria decision-making model based on q-rung orthopair fuzzy sets to evaluate sustainable energy alternatives for Haryana's energy transition. It uses CRITIC for objective weight determination and a Hybrid CoCoSo approach for ranking. Results indicate the framework is a robust tool for strategic energy planning.
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
この研究はインド・ハリヤナ州の事例であり、日本のエネルギー転換に直接的な示唆は少ないが、不確実性下での多基準評価手法が参考になる可能性がある。
In the global GX context
This paper provides a case study from Haryana, India, offering a methodological framework for evaluating energy alternatives under uncertainty. While not directly applicable to global disclosure frameworks, the MCDM approach could inform strategic energy planning in similar regional contexts.
👥 読者別の含意
🔬研究者:Researchers in energy policy and MCDM methods may find the integrated fuzzy approach useful.
🏢実務担当者:Practitioners in energy planning could adapt the framework for regional assessments.
🏛政策担当者:Policymakers in regions with similar energy transition challenges may use the ranking results for prioritization.
📄 Abstract（原文）
<p class="MsoNormal" style="text-align: justify;"><span lang="EN-US" style="font-size: 10.0pt; line-height: 115%; font-family: 'Times New Roman',serif; mso-bidi-font-weight: bold;">The development of sustainable energy sources is one of the most significant issues facing policymakers who need to strike a balance between energy demand, environmental sustainability and economic development. In this respect, much uncertainty, fuzziness, and inaccurate data often come into play in decision-making and thus standardized evaluation methods are less practical in the evaluation of complex energy options. Thus, this paper suggests a multi-criteria decision-making model that is integrated with q-rung orthopair fuzzy set (q-ROFS) to rank the sustainable sources of energy in Haryana, India. The proposed framework includes a novel q-ROFS scoring facility to be used to analyze energy options in uncertain and unclear situations. Moreover, the CRITIC (Criteria Importance Through Inter-Criteria Correlation) is used to identify the objective weights of the evaluation criteria, which is based on the intensity of contrast and discord between the criteria. These objective weights are then added to the subjective expert preferences to reach the final parameters of decision. Hybrid Yager-Power-Weighted Compromise Solution (CoCoSo) approach is then used to undertake the multi-criteria decision-making process and prioritize the energy options that are sustainable. The suggested method has the following benefits: It improves computational stability, maintains the nonlinear weighting effect, it does not have a zero-product problem, and combines both objective and subjective information to provide more credible decision results. The results show that the proposed framework has a solid and useful instrument in helping policymakers to plan sustainably energy and make strategic decisions.</span></p>
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.23812/ssd8510first seen 2026-07-16 05:00:43
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