Disturbance Observer-Based Control: Weighted Aggregated Aczel-Alsina Sum Product Assessment Based on Power Operators for Managing Fuzzy 2-Tuple Linguistic Neural Networks DOI
Zeeshan Ali, Kostaq Hila

Cognitive Computation, Journal Year: 2024, Volume and Issue: 17(1)

Published: Dec. 16, 2024

Language: Английский

Explainable Artificial Intelligence for Sustainable Urban Water Systems Engineering DOI Creative Commons

Shofia Saghya Infant,

A.S. Vickram,

A. Saravanan

et al.

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 104349 - 104349

Published: Feb. 1, 2025

Language: Английский

Citations

2
Strategic MARCOS Model for Optimizing Renewable Energy Investments Under Pythagorean Hesitant Fuzzy Assessments DOI Creative Commons
Muhammad Younis, Shahzaib Ashraf, Saleem Abdullah

et al.

Advances in Fuzzy Systems, Journal Year: 2025, Volume and Issue: 2025(1)

Published: Jan. 1, 2025

For sustainable growth, investments in renewable energy must be maximized. Maximizing opens the door to a more successful and environmentally friendly future. Analyzing technological viability, cost‐effectiveness, regulatory compliance, environmental impact are all part of this optimization process. This paper delves into sophisticated methodology designed tackle uncertainties decision‐making by leveraging innovative concept Pythagorean hesitant fuzzy sets (PHFSs). We defined aggregation operations distance measures for PHFS. After that, we introduced Measurement Alternatives Ranking According Compromise Solution (MARCOS), novel under PHFS, it is robust tool acknowledged navigating complex decision scenarios with multiple criteria. Following showcased case study on enhancing through an AI‐based strategy development, utilizing newly developed MARCOS algorithm. The highlights significance its adaptability efficiency practical applications. Furthermore, compared Technique Establishing Order Performance Similarity Ideal (TOPSIS), offering insights their respective strengths. offers concrete demonstration real‐world utility potential scenarios. Finally, last, conclude whole study.

Language: Английский

Citations

1
Supplier selection in green supply chain management using correlation-based TOPSIS in a q-rung orthopair fuzzy soft environment DOI Creative Commons
Rana Muhammad Zulqarnain, Hongliang Dai,

Wen-Xiu Ma

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(11), P. e32145 - e32145

Published: June 1, 2024

Language: Английский

Citations

6
A Pythagorean fuzzy Z̃-number-based neutrality aggregation model for AI-enabled energy efficiency management DOI

Shahzad Noor Abbasi,

Shahzaib Ashraf, Maria Akram

et al.

Applied Soft Computing, Journal Year: 2024, Volume and Issue: 161, P. 111753 - 111753

Published: May 16, 2024

Language: Английский

Citations

5
Assessment of digital transformation indicators to prioritize sustainable financial services using q-rung orthopair fuzzy rough decision-making model DOI
Pratibha Rani, Arunodaya Raj Mishra, Dragan Pamucar

et al.

Applied Soft Computing, Journal Year: 2025, Volume and Issue: unknown, P. 112715 - 112715

Published: Jan. 1, 2025

Language: Английский

Citations

0
Stock Market Prediction Based Multi-Attribute Decision Making Model Using Picture Fuzzy $${\hat{Z}}$$-Information DOI Creative Commons
Shahzaib Ashraf,

Amna Khalid,

Bushra Batool

et al.

International Journal of Computational Intelligence Systems, Journal Year: 2025, Volume and Issue: 18(1)

Published: Jan. 9, 2025

As demonstrated in the section above, stock market place is a dynamic factor, which makes it possible for traders and investors to make good decisions based on information acquired through accurate prediction. This research aims at improving prediction of by applying new method Multi-attribute Group Decision making (MAGDM). MAGDM goes cycle evaluating ranking several criteria hence enhancing decision-making aspects further. To overcome shortcomings prior models, some EU FU incorporated combining Zadeh's $${\hat{Z}}$$ -numbers with Picture Fuzzy Sets (PFSs). integration enhance ability model address completely unclear utilizing peculiarities -numbers. compare between decision-makers, we proposed picture fuzzy (PF N) their aggregation, introduced weighted averaging, ordered hybrid geometric, geometric operators algebraic $${\mathfrak {T}}$$ -norm ( {T}}-N$$ ) -conorm {T}}-CNs$$ verify efficiency our suggested technique, these Combined Compromised Solution (CoCoSo) focusing analysis. Our results, therefore, show how are important decision accuracy precision conditions risk. laid down basis dealing uncertainty different fields especially application The methodology can be attributed providing systematic more efficient way one or other has an outcome credibility process financial sector.

Language: Английский

Citations

0
Evaluating Commuters' Travel Mode Choice Using the Z-Number Extension of Parsimonious Best Worst Method DOI Creative Commons
Sarbast Moslem

Applied Soft Computing, Journal Year: 2025, Volume and Issue: unknown, P. 112918 - 112918

Published: Feb. 1, 2025

Language: Английский

Citations

0
Enhanced decision model for sustainable energy solutions under bipolar hesitant fuzzy soft aggregation information DOI Creative Commons

Zaheer Ahmad,

Shahzaib Ashraf,

Shahrukh Rafi Khan

et al.

AIMS Mathematics, Journal Year: 2025, Volume and Issue: 10(2), P. 4286 - 4321

Published: Jan. 1, 2025

Language: Английский

Citations

0
An extended multi-criteria group decision-making method based on preference ranking under Z-number environments DOI
Jian Li,

Yuanyuan Xiang,

Hong‐gang Peng

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2025, Volume and Issue: 149, P. 110573 - 110573

Published: March 17, 2025

Language: Английский

Citations

0
Adoption of Smart Manufacturing Technologies in Small and Medium Enterprises Using Picture Fuzzy Combinative Distance-Based Assessment Model DOI
Pratibha Rani, Arunodaya Raj Mishra, Ahmad M. Alshamrani

et al.

Journal of the Knowledge Economy, Journal Year: 2025, Volume and Issue: unknown

Published: March 22, 2025

Language: Английский

Citations

0