Multi-criteria assessment of climate change due to green house effect based on Sugeno Weber model under spherical fuzzy Z-numbers

Information Sciences, Journal Year: 2024, Volume and Issue: 666, P. 120428 - 120428

Published: March 7, 2024

Language: Английский

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Optimizing industrial growth: A spherical fuzzy MCDM framework for industrial revolutions

Results in Engineering, Journal Year: 2025, Volume and Issue: 25, P. 103844 - 103844

Published: Jan. 5, 2025

Language: Английский

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Evaluation of sustainable strategies for urban parcel delivery: Linguistic q-rung orthopair fuzzy Choquet integral approach

Engineering Applications of Artificial Intelligence, Journal Year: 2023, Volume and Issue: 126, P. 106811 - 106811

Published: Sept. 2, 2023

Language: Английский

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Carbon emission reduction contribution analysis of electricity enterprises in urban green development: A quantum spherical fuzzy sets-based decision framework

Technological Forecasting and Social Change, Journal Year: 2024, Volume and Issue: 200, P. 123181 - 123181

Published: Jan. 3, 2024

Language: Английский

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Leveraging Artificial Intelligence to Bolster the Energy Sector in Smart Cities: A Literature Review

Energies, Journal Year: 2024, Volume and Issue: 17(2), P. 353 - 353

Published: Jan. 10, 2024

As Smart Cities development grows, deploying advanced technologies, such as the Internet of Things (IoT), Cyber–Physical Systems, and particularly, Artificial Intelligence (AI), becomes imperative for efficiently managing energy resources. These technologies serve to coalesce elements life cycle. By integrating smart infrastructures, including renewable energy, electric vehicles, grids, AI emerges a keystone, improving various urban processes. Using PRISMA (Preferred Reporting Items Systematic Reviews Meta-Analyses) Scopus database, this study meticulously reviews existing literature, focusing on in four principal domains: generation, transmission, distribution, consumption. Additionally, paper shows technological gaps when is implemented Cities. A total 122 peer-reviewed articles are analyzed, findings indicate that have led remarkable advancements each domain. For example, algorithms been employed generation optimize resource allocation predictive maintenance, especially energy. The role anomaly detection grid stabilization significant transmission distribution. Therefore, review outlines trends, high-impact articles, emerging keyword clusters, offering comprehensive analytical lens through which multifaceted applications City sectors can be evaluated. objective provide an extensive framework techniques currently deployed elucidates their connected implications sustainable This synthesis aimed at policymakers, planners, researchers interested leveraging transformative potential advance sustainability efficiency initiatives sector.

Language: Английский

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Circular Spherical Fuzzy Sugeno Weber Aggregation Operators: A Novel Uncertain Approach for Adaption a Programming Language for Social Media Platform

IEEE Access, Journal Year: 2023, Volume and Issue: 11, P. 124920 - 124941

Published: Jan. 1, 2023

This study's major purpose is to highlight circular spherical fuzzy sets, that happens be a prolongation of sets. The primary this research demonstrate the basic operations and theorems structures (C-SFS), which give an effective way for dealing with data ambiguity. Aggregation operators (AOs) play significant role in decision-making, particularly situations where conflicting interests need taken into account. Sugeno-Weber (SW) t-conorm t-norm are employed C-SFS operating rules. study describes detail fundamental criteria utilizing SW t-norms t-conorms, as well their crucial features. Furthermore, presents fully investigates two novel operators, Sugeno Weber weighted averaging (C-SFSWWA) geometric (C-SFSWWG), distinct applications desired properties. A approach based on C-SFSWWA C-SFSWWG suggested address multiple attribute decision-making (MADM) problems C-SF information. numerical example shows how may used adapt programming language social media platform analytics, followed by comparison its advantages. advised successful, according investigation authenticity study. In reality, recommended aggregation quite useful decision analysis.

Language: Английский

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Multi-attribute group decision making method for sponge iron factory location selection problem using multi-polar fuzzy EDAS approach

Heliyon, Journal Year: 2024, Volume and Issue: 10(6), P. e27712 - e27712

Published: March 1, 2024

This paper presents new averaging operators, such as mpF Einstein weighted (mpFEWA), ordered (mpFEOWA), hybrid (mpFEHWA), geometric (mpFEWG), and (mpFEHWG), well operations (mpFNs) for handling multi-polar fuzzy numbers. We evaluate these operators idempotency, boundedness, monotonicity, commutativity, we design them to deal with numbers (mpFNs). Furthermore, the study investigates use of in MAGDM settings, namely mpFEWA mpFEWG expand on this. Additionally, it proposes a procedure determining best site sponge iron production plant by created method. The EDAS method, which stands "Evaluation based Distance from Average Solution," verifies that solutions are effective. Finally, suggested model highlights benefits possible improvements provided creative strategies comparing approach conventional methods evaluating its efficiency practicality.

Language: Английский

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Supply Chain Management Using Fermatean Fuzzy-Based Decision Making With ISSOA

Advances in logistics, operations, and management science book series, Journal Year: 2024, Volume and Issue: unknown, P. 296 - 318

Published: Jan. 19, 2024

The goal of this research is to create a decision-making process for sustainable supplier selection and order allocation that known as Fermatean Fuzzy Sets-Based Decision Making (FFS-DMS). Improved Salp Swarm Optimization (ISSO) approach used pick suppliers allocate the best quantities. suggested FFS-ISSA-DMS technique's viability efficacy are proven through empirical experiments. With an astounding 99.81% accuracy rate, method outperforms other models already in use situation.

Language: Английский

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Supplier selection in green supply chain management using correlation-based TOPSIS in a q-rung orthopair fuzzy soft environment

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

Published: June 1, 2024

Language: Английский

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Decision-making for supplier selection problems based on QUALIFLEX technique using likelihood method in LIVIFS environment

Expert Systems with Applications, Journal Year: 2024, Volume and Issue: 252, P. 124136 - 124136

Published: May 9, 2024

The notion of linguistic interval-valued intuitionistic fuzzy set (LIVIFS) is one the best tools in order to deal with qualitative decision making problems. Therefore, this paper a (LIVIF) QUALIFLEX method likelihood-based comparison approach proposed. First, likelihood preference relation (FPRs) compare interval valued numbers (LIVIFNs). By employing criterion-wise assessment alternatives through likelihoods, we introduce novel QUALIFLEX-based model. This model aims quantify degree concordance complete for effective management decisions involving multiple criteria. We demonstrate practicality and applicability proposed methods an illustrative example, specifically focusing on context Supplier Selection Problems. To validate efficacy methodology, comparative analysis performed against other existing methods.

Language: Английский

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