An Improved ARAS Approach with T-Spherical Fuzzy Information and Its Application in Multi-attribute Group Decision-Making DOI
Haolun Wang, Tingjun Xu, Liangqing Feng

et al.

International Journal of Fuzzy Systems, Journal Year: 2024, Volume and Issue: 26(7), P. 2132 - 2156

Published: May 18, 2024

Language: Английский

Comprehensive evaluation of rural regional integrated clean energy systems considering multi-subject interest coordination with pythagorean fuzzy information DOI
Shi Yin,

Yudan Zhao,

Abrar Hussain

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2024, Volume and Issue: 138, P. 109342 - 109342

Published: Sept. 23, 2024

Language: Английский

Citations

12
An integrated model for road freight transport firm selection in third-party logistics using T-spherical Fuzzy sets DOI
Ömer Faruk Görçün, Prasenjit Chatterjee, Željko Stević

et al.

Transportation Research Part E Logistics and Transportation Review, Journal Year: 2024, Volume and Issue: 186, P. 103542 - 103542

Published: May 1, 2024

Language: Английский

Citations

11
Income-Based analysis of health security in Western Asia through an integrated GHSI, MCDM, and Clustering Model DOI Creative Commons
Adel A. Nasser, Abed Saif Alghawli, S. Saleh

et al.

F1000Research, Journal Year: 2025, Volume and Issue: 14, P. 43 - 43

Published: Jan. 8, 2025

Infectious diseases present significant challenges to global health security in contemporary, interconnected environments. This study aimed evaluate and compare performance Western Asia (WA), with a focus on income group-based disparities region-specific insights. utilized the Global Health Security Index (GHSI) assess across 17 WA countries categorized by level. indicators for 2019 2021 were analyzed using D-CRITIC method determine relative importance of each indicator (Global Index, 2021): https://ghsindex.org/report-model/). A combined D-CRITIC-CoCoSo framework was employed rank countries, followed K-means clustering grading. The also investigated correlations between financial allocation's outcomes Spearman's correlation. comparative analysis elucidated regional categories. highlights WA's progress prioritizing foundational systems, detection/reporting, rapid response, risk management. From 2021, priorities varied group, high-income focusing detection, upper-middle-income environments, low-income prevention. While some nations demonstrated improvement, others, such as Armenia, experienced decline, revealing persistent vulnerabilities. revealed variability capacity, both setbacks among different clusters. High- Qatar Georgia, leverage investments international partnerships improve their rankings, while conflict-affected, low-resource including Iraq, Yemen, Syria, face stagnation or decline. Strong observed resource allocation performance. Higher like Armenia Georgia led significantly improved outcomes, minimal spending Syria Yemen weakened resilience threats. Disparities persist, underscoring need equitable cooperation enhance public security.

Language: Английский

Citations

1
An integrated group decision-making technique under interval-valued probabilistic linguistic T-spherical fuzzy information and its application to the selection of cloud storage provider DOI Creative Commons
Shahid Hussain Gurmani, Zhao Zhang, Rana Muhammad Zulqarnain

et al.

AIMS Mathematics, Journal Year: 2023, Volume and Issue: 8(9), P. 20223 - 20253

Published: Jan. 1, 2023

<abstract> <p>Cloud storage is crucial in today's digital era due to its accessibility, scalability, cost savings, collaboration and enhanced security features. The selection of a reliable cloud provider significant multi-attribute group decision-making (MAGDM) problem that involves intrinsic relationships among the various alternatives, attributes decision DMs. Due uncertain incomplete nature evaluation data for providers, i.e., quality service user feedback, identification appropriate providers with accurate ranking remains an open research challenge. To address above-mentioned challenge, this work proposes concept interval-valued probabilistic linguistic T-spherical fuzzy set (IVPLt-SFS). Then, some basic operations score function are defined compare two or more IVPLt-SF numbers (IVPLt-SFNs). For information fusion, aggregation operators IVPLt-SFN also developed. Next, extended TOPSIS method-based technique under established solve MAGDM problem. Finally, numerical example given illustrate practicability usefulness designed approach suitability as tool selecting provider. Comparative sensitivity analysis confirmed paper enriches theory methodology analysis.</p> </abstract>

Language: Английский

Citations

17
Enhanced LogTODIM-TOPSIS framework for interval-valued intuitionistic fuzzy MAGDM and applications to intangible assets operational management performance evaluation of commercial sporting events DOI Creative Commons
Ke Xu,

Kyung-Hwan Choi,

Fengshuo Rao

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(4), P. e26311 - e26311

Published: Feb. 1, 2024

The effective operation of intangible assets in commercial sports events can bring long-term, sustainable, and large-scale economic benefits to events. However, currently, the events, lack experience hosting often hinders development that should have created higher profits, cannot achieve expected value. operational management performance (IAOMP) evaluation sporting is multiple-attribute group decision-making (MAGDM). Logarithmic TODIM (LogTODIM) TOPSIS technique was brought forward MAGDM. interval-valued intuitionistic fuzzy sets (IVIFSs) are as useful for coping with uncertain information during IAOMP In this study, number TODIM-TOPSIS (IVIFN-LogTODIM-TOPSIS) MAGDM under IVIFSs circumstances. Finally, numerical example verify IVIFN-LogTODIM-TOPSIS technique. main contribution study forward: (1) LogTODIM-TOPSIS extended light MEREC model; (2) model derive weight score values (3) circumstances; (4) several different comparative analysis model.

Language: Английский

Citations

7
The use of AI to uncover the supply chain dynamics of the primary sector: Building resilience in the food supply chain DOI Creative Commons
Weizhong Wang, Yu Chen, Tinglong Zhang

et al.

Structural Change and Economic Dynamics, Journal Year: 2024, Volume and Issue: 70, P. 544 - 566

Published: May 16, 2024

Despite the fact that artificial intelligence (AI) techniques are increasingly influencing economic and societal dynamics, certain aspects of AI's role in structural change, such as enhancing resilience supply chains, have not been thoroughly explored academic research. Thus, we first identify thirteen variables influential shaping transformation food chains. These chosen based on financial, technological, social, organizational challenges to building within chain. Then, generate an interval-valued T-spherical fuzzy CoCoSo'B model uncover AI chain dynamics change sector. After that, explore alleviating factors through generated decision expert interview. The result also reveals advantageAd2"Enhancing information sharing among nodes" (1.983) has most potential influence adoption behavior. outcomes present study can provide a new decision-support technique for uncovering effects

Language: Английский

Citations

6
An efficient spherical fuzzy MEREC–CoCoSo approach based on novel score function and aggregation operators for group decision making DOI Open Access

Guorou Wan,

Yuan Rong, Harish Garg

et al.

Granular Computing, Journal Year: 2023, Volume and Issue: 8(6), P. 1481 - 1503

Published: May 15, 2023

Language: Английский

Citations

16
A novel CODAS approach based on Heronian Minkowski distance operator for T-spherical fuzzy multiple attribute group decision-making DOI
Haolun Wang, Liangqing Feng, Muhammet Deveci

et al.

Expert Systems with Applications, Journal Year: 2023, Volume and Issue: 244, P. 122928 - 122928

Published: Dec. 27, 2023

Language: Английский

Citations

15
Selecting the ideal sustainable green strategy for logistics companies using a T-spherical fuzzy-based methodology DOI
Ahmet Ayteki̇n, Selçuk Korucuk,

Şule Bayazit Bedirhanoğlu

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2023, Volume and Issue: 127, P. 107347 - 107347

Published: Nov. 6, 2023

Language: Английский

Citations

12
Enhanced computer network security assessment through employing an integrated LogTODIM-TOPSIS technique under interval neutrosophic sets DOI

Qiongqiong Sun,

Yang Longfei

International Journal of Knowledge-based and Intelligent Engineering Systems, Journal Year: 2024, Volume and Issue: 28(3), P. 419 - 434

Published: March 22, 2024

In the context of development new era, computer network technology has become an indispensable and important technological means in people’s daily work life. Through technology, information resources can be collected, integrated, processed, applied, thereby improving analysis mining capabilities, constructing big data environments for various industries, providing convenient fast intelligent services, promoting social transformation development. However, practical development, security issues seriously affect stability, viruses hackers pose a huge threat to systems. The evaluation is MAGDM problems. Recently, Logarithmic TODIM (LogTODIM) TOPSIS technique been utilized cope with issues. interval neutrosophic sets (INSs) are as characterizing uncertain during evaluation. this paper, number TODIM-TOPSIS (INN-LogTODIM-TOPSIS) conducted solve under INSs. Finally, numerical case study validate proposed technique. prime contributions paper put forward: (1) entropy based on score values accuracy value obtain weight INSs; (2) integrated INN-LogTODIM-TOPSIS forward issue; (3) An illustrative example accomplished

Language: Английский

Citations

4