Enhancing environmental sustainability through code-driven process integration in the petrochemical industry DOI Creative Commons
Muhammad Ahsan, Lixin Tian, Ruijin Du

et al.

Frontiers in Environmental Science, Journal Year: 2024, Volume and Issue: 12

Published: Dec. 11, 2024

Balancing various objectives and navigating uncertainties, reducing CO 2 emissions enhancing energy efficiency in industry presents a complex challenge. While previous studies primarily focused on conventional optimization methods, this research introduces an innovative approach: multi-criteria framework tailored to address uncertainties. The primary objective is optimize consumption, minimize emissions, improve cost simultaneously within the petrochemical industry. To effectively manage uncertain variables, study integrates decision-making simulations expert insights through hybrid methodology yield optimal outcomes. Employing three distinct preference categories, model formulates comprehensive strategies. Empirical findings underscore model’s efficacy bridging crucial gaps existing research, advocating sustainable practices sector. Departing from methodologies, leverages advanced techniques adept at handling uncertainty. identifies pivotal emission sources advocates economically viable reduction Its adaptability enriches our comprehension of challenges by considering diverse factors perspectives. Professional assessments affirm success propose Coding-Based Prototype as strategic tool for addressing These results imperative policy reforms, such embracing carbon capture technologies, bolster global sustainability foster enduring growth industrial domain.

Language: Английский

Does transition finance policies persistently fuel green innovation in brown firms? Investigating the roles of ESG rating and bank connection DOI

Tongbin Yang,

Bo Zhou

Pacific-Basin Finance Journal, Journal Year: 2025, Volume and Issue: unknown, P. 102674 - 102674

Published: Jan. 1, 2025

Language: Английский

Citations

1
Renewable energy and carbon-neutral gaming: A holistic approach to sustainable electricity DOI
Chien‐Chiang Lee, Jafar Hussain,

顕 鈴木

et al.

Energy, Journal Year: 2024, Volume and Issue: 297, P. 131203 - 131203

Published: April 9, 2024

Language: Английский

Citations

6
Importance of reducing GHG emissions in power transmission and distribution systems DOI Creative Commons
Xingsheng Li, Wei Li,

Yahong Dong

et al.

Energy Reports, Journal Year: 2024, Volume and Issue: 11, P. 3149 - 3162

Published: March 5, 2024

Reducing greenhouse gas (GHG) emissions in the power transmission and distribution (T&D) network is crucial for achieving carbon peaking neutrality. However, there has been a lack of focus on this topic, despite dramatic replacement traditional high-emission generation systems with clean renewable energy sources. This study aims at investigating GHG T&D based life cycle assessment (LCA). A (LCCA) model established, emission intensity China's system predicted. It found that China was approximately 66 gCO2eq/kWh 2012 decreased to around 32 2022, which were mostly caused by electricity loss. The contributions infrastructure are analyzed, alternative scenarios conducted explore driving factors infrastructure. prediction towards year 2060 regarding neutrality indicates will account least 16% total from grid 2060. implies reducing should be one primary tasks, especially when dominates mix.

Language: Английский

Citations

5
A quantum group decision model for meteorological disaster emergency response based on D-S evidence theory and Choquet integral DOI
Shuli Yan, Yizhao Xu, Zaiwu Gong

et al.

Information Sciences, Journal Year: 2024, Volume and Issue: 674, P. 120707 - 120707

Published: May 10, 2024

Language: Английский

Citations

5
Artificial intelligence-based expert weighted quantum picture fuzzy rough sets and recommendation system for metaverse investment decision-making priorities DOI Creative Commons

Gang Kou,

Hasan Di̇nçer, Dragan Pamučar

et al.

Artificial Intelligence Review, Journal Year: 2024, Volume and Issue: 57(10)

Published: Sept. 5, 2024

Language: Английский

Citations

2
Analysis of Quantum Computing’s Applicability in Data Analysis: Utilizing a Hybrid MCDM Approach With Quantum Spherical Fuzzy Sets DOI Creative Commons
Phi-Hung Nguyen,

The-Vu Pham,

Lan-Anh Thi Nguyen

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 110526 - 110549

Published: Jan. 1, 2024

Quantum computing offers transformative processing capabilities, particularly in data analysis. However, its adoption developing countries like Vietnam faces significant barriers, such as financial constraints, infrastructural limitations, and skill shortages. This study aims to determine analyze these barriers' impact weights evaluate rank potential solutions for overcoming the most critical barriers. proposes a multi-faceted approach integrating Multi-Criteria Decision Making (MCDM) methods, including Delphi Method (DELPHI), Trial And Evaluation Laboratory (DEMATEL), Combined Compromise Solution (COCOSO), Technique Order Performance by Similarity Ideal (TOPSIS), Multiplicative form of Multi-objective Optimization based on Ratio Analysis method (MULTIMOORA), alongside Spherical Fuzzy (QSF) set combination, especially QSF DELPHI COCOSO models, represents methodological contribution. Results indicate that Vietnam's primary barriers quantum are limited infrastructure, high costs, lack skilled workforce. Correspondingly, highly rated solution strategies cost reduction initiatives, investment training education programs, which should be prioritized considered remove These findings highlight need prioritize addressing issues facilities, human resources, resources. research bridges theoretical insights with actionable recommendations, providing comprehensive roadmap mitigating promoting integration into analysis landscape.

Language: Английский

Citations

1
Human-computer interaction using artificial intelligence-based expert prioritization and neuro quantum fuzzy picture rough sets for identity management choices of non-fungible tokens in the Metaverse DOI Creative Commons
Gang Kou, Hasan Di̇nçer, Dragan Pamucar

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 31, 2024

Abstract Necessary improvements should be made to increase the effectiveness of non-fungible tokens on Metaverse platform without having extra costs. For purpose handing this process more efficiently, there is a need determine most important factors for successful integration into platform. Accordingly, study aims appropriate identity management choices in Metaverse. There are three different stages proposed novel fuzzy decision-making model. The first stage includes prioritizing expert with artificial intelligence-based methodology. Secondly, criteria sets managing weighted by using Quantum picture rough sets-based M-SWARA Finally, regarding ranked oriented VIKOR. main contribution that intelligence methodology integrated modelling differentiate experts. With help situation, it can possible create clusters Hence, opinions experts outside group may excluded from scope. It has been determined security must ensured use Similarly, technological infrastructure also sufficient achieve objective. Moreover, biometrics unique identification best ranking performance among alternatives. Privacy authentication plays critical role process.

Language: Английский

Citations

0
A Novel Approach On Laplacian Energy of σJ-Dominating Complex Spherical Fuzzy Graph Structures and with Application DOI Creative Commons
S. N. Suber Bathusha, S. Angelin Kavitha Raj,

Mufti Mahamud

et al.

International Journal of Mathematics for Industry, Journal Year: 2024, Volume and Issue: unknown

Published: May 10, 2024

The CSFS is an extension of CPFS and CPicFS. design addresses vagueness more explicitly. It extends the real subset’s range to complex with use unit disc. Due its coverage in three directions: membership functions, abstinence function, non-membership has flexibility than CFSs, CIFSs, CPFSs, can be applied various ways through fuzzy control. primary objective this study present CSFGS, which exhibits exceptional performance tackling challenging problem, particularly ones that involve multiple relationships. GSs CSFSs are combined concept. As a result, many problems different relations. AM CSFGS degree vertex presence have been found. lower upper constraints on energy derived by calculating CSFGS. Furthermore, we provided some details regarding LE [Formula: see text]-dominant We also propose notion isomorphic identical text]-dominating Finally, discussed real-world example based temperature variation climatic data analysis environment demonstrate applicability generated results. Also, algorithm developed clarify fundamental workings our application.

Language: Английский

Citations

0
Human–computer interaction using artificial intelligence-based expert prioritization and neuro quantum fuzzy picture rough sets for identity management choices of non-fungible tokens in the Metaverse DOI Creative Commons
Gang Kou, Hasan Di̇nçer, Dragan Pamučar

et al.

Artificial Intelligence Review, Journal Year: 2024, Volume and Issue: 57(10)

Published: Sept. 5, 2024

Language: Английский

Citations

0
A method of determining the carbon emission reduction contribution of regional distribution networks based on spherical fuzzy sets DOI Creative Commons
Puliang Du,

Miaoheng Yang,

Wei Hu

et al.

Frontiers in Energy Research, Journal Year: 2024, Volume and Issue: 12

Published: Oct. 24, 2024

Introduction An innovative methodology is proposed to delve into the pivotal role of regional distribution networks (RDNs) in fostering low-carbon development. Methods The first constructs an evaluation framework encompassing various dimensions and then integrates spherical fuzzy sets (SFSs) with best-worst method (BWM), enabling precise calculation indicator weight parameters. Subsequently, we employ measurement alternatives ranking according compromise solution (MARCOS) SFSs process synthesize decision making information. Results Take Shanghai region as example, results show that C4 has highest performance C10 lowest. Discussion In conclusion, this research presents a significant step forward understanding importance RDNs promoting development offers practical approach for decision-makers assess enhance RDNs.

Language: Английский

Citations

0