Using the AHP-TOPSIS Integrated Model to Assess the Quality of Urban Environments DOI

Haoan Lei,

Cuiyu Sun,

Mengcong Nie

et al.

Learning and analytics in intelligent systems, Journal Year: 2024, Volume and Issue: unknown, P. 3 - 15

Published: Jan. 1, 2024

Language: Английский

Hydrothermal synthesis of Fe3O4 nanoparticles at different pHs and its effect on discoloration of methylene blue: Evaluation of alternatives by TOPSIS method DOI
Seyed Faridedin Rafie, Hani Sayahi, Hadi Abdollahi

et al.

Materials Today Communications, Journal Year: 2023, Volume and Issue: 37, P. 107589 - 107589

Published: Nov. 17, 2023

Language: Английский

Citations

14
A novel improved FMEA method using data envelopment analysis method and 2-tuple fuzzy linguistic model DOI
Kuei‐Hu Chang, Yijun Chen,

Chung-Cheng Liao

et al.

Annals of Operations Research, Journal Year: 2024, Volume and Issue: 341(1), P. 485 - 507

Published: April 29, 2024

Language: Английский

Citations

3
Supplier Selection Utilizing AHP and TOPSIS in a Fuzzy Environment Based on KPIs DOI Creative Commons
Afsaneh Safavi, Bahram Sadeghi Bigham, Mazyar Zahedi-Seresht

et al.

Contemporary Mathematics, Journal Year: 2025, Volume and Issue: unknown, P. 574 - 593

Published: Jan. 13, 2025

In today’s competitive and rapidly changing business landscape, organizations face significant challenges such as resource limitations, fluctuating demand, evolving customer needs. Addressing these requires effective strategies, with supplier selection playing a vital role in building resilient efficient supply chains. This study introduces an innovative framework for evaluation selection, integrating the analytic hierarchy process (AHP) technique order preference by similarity to ideal solution (TOPSIS) within fuzzy environment. The AHP method was employed systematically identify prioritize key performance indicators (KPIs) critical evaluating suppliers. Criteria transportation cost, flexibility meeting product requirements, defect reduction, communication responsiveness were identified most factors. These priorities formed foundation applying TOPSIS method, which facilitated ranking of suppliers under conditions uncertainty. analysis revealed Sepidar Darb, Aram Plastic Sabalan, Sanaye Markaz, Amin Avar top-performing suppliers, followed Pegah Zanjan Company. relevance this research is heightened impact COVID-19 pandemic, has disrupted global chains fundamentally altered criteria. While pre-pandemic evaluations predominantly focused on cost efficiency quality, pandemic underscored importance additional criteria agility, risk management capabilities, geographical proximity, digital integration. emerging highlight necessity rethinking traditional approaches adapting demands By incorporating updated into AHP-TOPSIS framework, offers robust practical tool uncertain dynamic environments. proposed not only improves upon methods but also provides valuable insights striving create adaptable capable withstanding future disruptions.

Language: Английский

Citations

0
Using a Novel Neutrosophic Set-Based Method to Evaluate the Design Risk of Aerospace Manufacturing Projects in a Neutrosophic Environment DOI Creative Commons
Hsiang-Yu Chung, Kuei‐Hu Chang

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

Published: June 5, 2025

Language: Английский

Citations

0
Evaluation and Decision of a Seat Color Design Scheme for a High-Speed Train Based on the Practical Color Coordinate System and Hybrid Kansei Engineering DOI Creative Commons

Xuan-Hui Xie,

Yunpeng Xu,

Shilin Guo

et al.

Systems, Journal Year: 2024, Volume and Issue: 12(8), P. 316 - 316

Published: Aug. 22, 2024

Color is an important visual element of high-speed train seats, which has a significant impact on passenger travel experience. In order to solve the problem that color design relies subjective experience designers, this study aims establish effective evaluation and decision method for seat in based Practical Coordinate System (PCCS) hybrid Kansei Engineering. Firstly, we created series schemes typical colors PCCS. Secondly, new Engineering system was constructed; system, forward constructed with Factor Analysis (FA) Multidimensional Scaling (MDS) analyze cognitive feature sample. The Analytic Hierarchy Process (AHP) Independent Weight Coefficient Method (IW) were used calculate comprehensive weights, backward TOPSIS optimize evaluate schemes. Finally, methods illustrated case. results showed (1) three main influencing factors trains included function, aesthetics experience, comfort harmony; two other potential calmness relaxation. (2) PCCS, warm have better esthetic, while cool are calmer. Tones medium brightness saturation such as It- Sf-tones optimal choice, V-tone not suitable design. effectiveness verified by case study, provides reference optimization trains.

Language: Английский

Citations

2
A Risk Analysis-Based Multi-Attribute Decision-Making Framework for Supply Chain Management Using Hypersoft Mappings DOI Creative Commons
Atiqe Ur Rahman,

Abdul Razaq,

Muhammad Saeed

et al.

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 112261 - 112277

Published: Jan. 1, 2024

Language: Английский

Citations

1
Using the AHP-TOPSIS Integrated Model to Assess the Quality of Urban Environments DOI

Haoan Lei,

Cuiyu Sun,

Mengcong Nie

et al.

Learning and analytics in intelligent systems, Journal Year: 2024, Volume and Issue: unknown, P. 3 - 15

Published: Jan. 1, 2024

Language: Английский

Citations

0