Advanced MCDM Techniques and Emerging Trends for Marketing Applications DOI
Anuradha Yadav, Swati Sen,

Gowri Lakshmi Vanapalli

et al.

Advances in marketing, customer relationship management, and e-services book series, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 26

Published: Dec. 13, 2024

Decision-making in businesses, especially marketing, is increasingly becoming complex. The number of parameters that decision-makers need to evaluate numerous. Modern decision-making requires feeding customized inputs (such as stakeholder preferences) and dealing with ambiguity uncertainty, amongst others, based on the problem. This necessitated development advanced mathematical statistical techniques. chapter focuses Fuzzy Grey Methods, Utility-based preference modeling methods, ranking evaluation-based methods. Several examples from marketing domain are discussed for understanding scenarios which methods can be applied. By integrating sophisticated analytical techniques handle imprecision, non-linear relationships, heterogeneous data sources, businesses expected develop more adaptive, intelligent processes go beyond traditional linear approaches.

Language: Английский

AI-based Classification Model for Low-Energy Buildings: Promoting Sustainable Economic Development of Smart Cities with Spherical Fuzzy Decision Algorithm DOI Creative Commons

Lin Yang

IEEE Access, Journal Year: 2025, Volume and Issue: 13, P. 18386 - 18402

Published: Jan. 1, 2025

Language: Английский

Citations

0
Analysis of the Coupling Coordination and Spatial Difference Between Economic and Ecological Environment: A Case Study of China DOI Open Access
Yanan Sun, Qingsong Pang

Sustainability, Journal Year: 2025, Volume and Issue: 17(3), P. 869 - 869

Published: Jan. 22, 2025

This study adopts a sustainable development perspective to examine the economic and ecological coordinated progression spatial disparities across 30 regions in China from 2011 2022. Firstly, detailed analysis of CCD reveals that coordination between ES (economic subsystem) EES (ecological environment has been rising annually. However, overall level remains relatively limited. Second, kernel density estimation (KDE) shows degree various exhibits considerable variability, with disparity becoming increasingly pronounced. Third, trend surface (TS) indicates there exist regional variations EES. Specifically, east experiences an upward trend, while west downward trend. Similarly, south increase, whereas north demonstrates decrease. With ongoing development, it observed stable east–west direction; however, is increasing. Fourth, global Moran’s I pronounced positive autocorrelation. Finally, local Jiangsu, Fujian, Anhui, Jiangxi provinces exhibit significant high–high clusters, three Xinjiang, Gansu, Ningxia have always low–low clusters.

Language: Английский

Citations

0
Application of Multiple-Criteria Decision-Making Technology in Emergency Decision-Making: Uncertainty, Heterogeneity, Dynamicity, and Interaction DOI Creative Commons
Tao Li, Jiayi Sun, Liguo Fei

et al.

Mathematics, Journal Year: 2025, Volume and Issue: 13(5), P. 731 - 731

Published: Feb. 24, 2025

With the increasing frequency of natural and man-made disasters, emergency management has become a key research field aimed at saving lives reducing environmental economic losses. As core link in responding to sudden crisis events, decision-making is directly related stability society, safety citizens, robustness infrastructure. scientific method, multiple-criteria (MCDM) technology gradually an important tool for solving complex problems management. It can handle uncertainty, heterogeneity, dynamicity, interaction emergencies select best alternative or rank all options multiple reference attributes limited number solve problems. This paper comprehensively reviews existing relevant literature, analyzes current status challenges MCDM its application process management, proposes gaps development directions this field.

Language: Английский

Citations

0
Regional Responses of Ecosystem Service Security to Land Use Changes and Driving Mechanisms: Insights from Nearly 40 Years of Observations in Shaanxi, China DOI
Shan Qu, Ling Han,

Liangzhi Li

et al.

Journal of environmental chemical engineering, Journal Year: 2025, Volume and Issue: unknown, P. 116224 - 116224

Published: March 1, 2025

Language: Английский

Citations

0
Enhancing teacher recruitment and retention through decision-making models in education systems DOI Creative Commons

Tong Liu,

Dalian Liu

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 30, 2025

Teacher recruitment and retention remain critical challenges for education systems worldwide, with far-reaching implications educational quality institutional sustainability. Traditional approaches often fail to address the complexity of these issues, neglecting interplay multiple conflicting criteria inherent uncertainty in decision-making. This gap necessitates advanced decision-making frameworks that can effectively evaluate prioritize strategies improving teacher retention. To bridge this gap, study introduces a novel framework integrating intuitionistic fuzzy sets (IFSs) handle more effectively. The Entropy method is employed compute objective weights, while ranking comparison (RANCOM) determines subjective ensuring balanced consideration qualitative quantitative factors. weighted aggregated sum product assessment (WASPAS) then applied. validated through sensitivity analysis assess its robustness comparative establish superiority over traditional methods. results identify Golden Ticket Salary Plan [Formula: see text] as optimal strategy, achieving highest (0.3654), followed by (0.3487), (0.3485), (0.3400), (0.2976) (0.2707). order follows: text]. These findings highlight significance structured optimizing workforce management. provides valuable insights policymakers administrators, sustainable advancements

Language: Английский

Citations

0
The pymcdm-reidentify tool: Advanced methods for MCDA model re-identification DOI Creative Commons
Bartłomiej Kizielewicz, Wojciech Sałabun

SoftwareX, Journal Year: 2024, Volume and Issue: 28, P. 101960 - 101960

Published: Nov. 15, 2024

Language: Английский

Citations

0
Application of Two-Step Entropy–TOPSIS Method and Complete Linkage Clustering for Water-Pumping Windmill Investment on Thailand Peninsula DOI Open Access
Sakon Klongboonjit, Tossapol Kiatcharoenpol

Sustainability, Journal Year: 2024, Volume and Issue: 16(23), P. 10616 - 10616

Published: Dec. 4, 2024

This study focuses on identifying suitable areas for the installation of water-pumping windmills in Thailand, which require wind speeds at least 4 m/s to operate efficiently. A simple combined approach is introduced, integrating Entropy–TOPSIS method complete linkage clustering prioritize and categorize potential locations. Out 271 initial areas, 28 have been selected based their ability meet speed threshold. The first evaluates these monthly agricultural area. analysis reveals that regions with higher generally score better energy potential, while larger spaces tend farming suitability. final integrated scores show area more significant, a weight 0.7788, compared 0.2212. are then ranked, groups them into six categories, from most windmill installation. sensitivity confirms robustness method, as group composition remains stable despite minor changes adjustments. simplifies decision-making sustainable investments Thailand agriculture sector.

Language: Английский

Citations

0
Analyzing customer preferences for hydrogen cars: a characteristic objects method approach DOI Creative Commons
Andrii Shekhovtsov, Amirkia Rafiei Oskooei, Jarosław Wątróbski

et al.

Artificial Intelligence Review, Journal Year: 2024, Volume and Issue: 58(2)

Published: Dec. 20, 2024

Abstract As hydrogen vehicles gain popularity, car manufacturers are introducing numerous models, presenting customers with the challenge of choosing most suitable option. To address this, Multi-Criteria Decision Analysis methods often used to evaluate and select best alternative. This study applies Characteristic Objects Method (COMET) practical problem selecting appropriate for decision-makers. Using data provided by manufacturers, we ten create six decision models based on preferences three decision-makers, utilizing both recently proposed Triad Support Expected Solution Point-COMET algorithms. The provide insights into how customer can be extracted represented in models. Moreover, analyze local weights derived from understand expectations cars better. results our highlight effectiveness COMET approach capturing comparing decision-maker preferences, offering a valuable methodology framework future applications similar multi-criteria decision-making problems.

Language: Английский

Citations

0
Comparison of RAWEC and AROMAN Methods in Material Selection for Manufacturing or Maintenance DOI
Do Duc Trung, Aleksandar Ašonja, Duong Van Duc

et al.

Lecture notes in networks and systems, Journal Year: 2024, Volume and Issue: unknown, P. 190 - 200

Published: Dec. 30, 2024

Language: Английский

Citations

0
Advanced MCDM Techniques and Emerging Trends for Marketing Applications DOI
Anuradha Yadav, Swati Sen,

Gowri Lakshmi Vanapalli

et al.

Advances in marketing, customer relationship management, and e-services book series, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 26

Published: Dec. 13, 2024

Decision-making in businesses, especially marketing, is increasingly becoming complex. The number of parameters that decision-makers need to evaluate numerous. Modern decision-making requires feeding customized inputs (such as stakeholder preferences) and dealing with ambiguity uncertainty, amongst others, based on the problem. This necessitated development advanced mathematical statistical techniques. chapter focuses Fuzzy Grey Methods, Utility-based preference modeling methods, ranking evaluation-based methods. Several examples from marketing domain are discussed for understanding scenarios which methods can be applied. By integrating sophisticated analytical techniques handle imprecision, non-linear relationships, heterogeneous data sources, businesses expected develop more adaptive, intelligent processes go beyond traditional linear approaches.

Language: Английский

Citations

0