Balanced Lattice Designs under Uncertain Environment DOI Creative Commons

Abdulrahman AlAita,

Muhammad Aslam

Journal of Statistical Theory and Applications, Journal Year: 2024, Volume and Issue: 23(3), P. 275 - 289

Published: June 19, 2024

Abstract Balanced lattice designs are vital in numerous fields, especially experimental design, where controlling variability among units is crucial. In practical experiments, various sources of uncertainty can lead to ambiguous, vague, and imprecise data, complicating the analysis process. To address these indeterminacies, a novel approach using neutrosophic within balanced design framework proposed, termed (NBLD). This innovative method employs statistics derive mathematical sums squares construct variance (NANOVA) table. The effectiveness proposed NBLD demonstrated through numerical example, showing that it outperforms traditional methods handling uncertainty.

Language: Английский

Market capitalization shock effects on open innovation models in e-commerce: golden cut q-rung orthopair fuzzy multicriteria decision-making analysis DOI Creative Commons
Nikita Moiseev, Alexey Mikhaylov, Hasan Dınçer

et al.

Financial Innovation, Journal Year: 2023, Volume and Issue: 9(1)

Published: Feb. 7, 2023

This research paper analyzes revenue trends in e-commerce, a sector with an annual sales volume of more than 340 billion dollars. The article evaluates, despite scarcity data, the effects on e-commerce development ubiquitous lockdowns and restriction measures introduced by most countries during pandemic period. analysis covers monthly data from January 1996 to February 2021. relative changes original time series through autocorrelation function. objects this are Amazon Alibaba, as they benchmarks industry. tests shock effect companies Alibaba China USA, concluding that it is weaker for small market capitalizations. As result, estimated e-trade USA was approximately 35% 2020. Another evaluation considers fuzzy decision-making methodology. For purpose, balanced scorecard-based open financial innovation models industry weighted multistepwise weight assessment ratio based q-rung orthopair sets golden cut. Within framework, detailed competitors should be made. proves situation positively affects successful Therefore, may possible attract greater attention these products.

Language: Английский

Citations

51

From risks to rewards: A comprehensive guide to sustainable investment decisions in renewable energy using a hybrid facial expression-based fuzzy decision-making approach DOI
Gang Kou, Dragan Pamucar, Hasan Dınçer

et al.

Applied Soft Computing, Journal Year: 2023, Volume and Issue: 142, P. 110365 - 110365

Published: May 2, 2023

Language: Английский

Citations

49

Integrating artificial intelligence in energy transition: A comprehensive review DOI Creative Commons
Qiang Wang,

Yuanfan Li,

Rongrong Li

et al.

Energy Strategy Reviews, Journal Year: 2025, Volume and Issue: 57, P. 101600 - 101600

Published: Jan. 1, 2025

Language: Английский

Citations

30

An Assessment of Circular Economy-Oriented Renewable Energy Projects via Artificial Intelligence Recommender Systems and a Hybrid Quantum Fuzzy Decision-making Approach DOI
Muhammad Shahbaz, Hasan Dınçer, Serhat Yüksel

et al.

Renewable Energy, Journal Year: 2025, Volume and Issue: unknown, P. 122673 - 122673

Published: Feb. 1, 2025

Language: Английский

Citations

2

Green innovation behaviour: Impact of industry 4.0 and open innovation DOI Creative Commons
Osarodion Ogiemwonyi, Mohammad Nurul Alam,

Ibrahim. E. Hago

et al.

Heliyon, Journal Year: 2023, Volume and Issue: 9(6), P. e16524 - e16524

Published: May 25, 2023

Developing nations have motivated contemporary manufacturing companies to embrace green innovation and focus on smart technology that is sustainable harness the growing economy uplift people. Although, scientific research in this direction has been neglected, at same time there are challenges attainment while meeting need of This study aims investigate impact Industry 4.0, open performance behaviour. To end, a theoretical model was established. A quantitative approach applied which survey data were utilized capture 247 responses from different Malaysia. The tested using SmartPLSver3.0 measure structural relationship between variables. findings indicate 4.0 positively behaviour, compared no impact. found be stronger when innovation. Likewise, exhibits substantial mediating exogenous variables policy implication conclusions further discussed last section study.

Language: Английский

Citations

32

A facial expression and expert recommendation fuzzy decision-making approach for sustainable business investments within the metaverse world DOI
Gang Kou, Serhat Yüksel, Hasan Dınçer

et al.

Applied Soft Computing, Journal Year: 2023, Volume and Issue: 148, P. 110849 - 110849

Published: Sept. 14, 2023

Language: Английский

Citations

32

Current analysis of cryptocurrency mining industry DOI Open Access
Diana Stepanova, N. B. A. Yousif, Raya Karlibaeva

et al.

Journal of Infrastructure Policy and Development, Journal Year: 2024, Volume and Issue: 8(7), P. 4803 - 4803

Published: July 30, 2024

In this regard the key factor determining success of mining industry is cost electricity. By understanding risks associated with crypto industry. The method based on systemic literature review and bibliometric analysis exploring keyword “bitcoin mining”. This paper studies 50 papers for period 2019–2023. results propose recommendations miners. Currently, confirm that bitcoin mainly depends consumption inexpensive Consequently, network predominantly uses energy in regions where it abundant cannot be stored or exported. Most miners rely electricity generated from hydroelectric power plants, geysers geothermal sources, which are not easy to transport store. Bitcoin will continue look such cost-effective underutilized as urban areas industrial centers remain financially unviable. If price stabilizes a sufficient number enter market, quite possible near future we may witness fivefold increase their consumption.

Language: Английский

Citations

10

Artificial Intelligence-Based Expert Prioritizing and Hybrid Quantum Picture Fuzzy Rough Sets for Investment Decisions of Virtual Energy Market in the Metaverse DOI
Пэйдэ Лю, Serhat Yüksel, Hasan Dınçer

et al.

International Journal of Fuzzy Systems, Journal Year: 2024, Volume and Issue: 26(7), P. 2109 - 2131

Published: April 20, 2024

Language: Английский

Citations

9

Analysis of the knowledge and innovation-based customer expectations for the green crypto assets in investment strategies using artificial intelligence and facial expression-based fuzzy modelling DOI
Alexey Mikhaylov, N. B. A. Yousif, Hasan Dınçer

et al.

Quality & Quantity, Journal Year: 2025, Volume and Issue: unknown

Published: March 6, 2025

Language: Английский

Citations

1

FinTech and branch network expansion: evidence from China’s banking industry DOI
Xudong Zhang, Zhihui Li

Applied Economics, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 16

Published: March 13, 2025

Language: Английский

Citations

1