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

Drying characteristics, sustainability assessment and machine learning predictions of glass greenhouse drying system with photovoltaic roof DOI Creative Commons
Xiyu Wang,

Rurui Xue,

Ping Gong

et al.

Case Studies in Thermal Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 106044 - 106044

Published: March 1, 2025

Language: Английский

Citations

0
Is it necessary to calibrate existing decision-making results based on real option analysis during the process of climate change? A case study from Xiamen, China DOI

Wenqiang Li,

Xin Jin, Peng Pei

et al.

Energy and Buildings, Journal Year: 2025, Volume and Issue: unknown, P. 115658 - 115658

Published: March 1, 2025

Language: Английский

Citations

0
Understanding the Energy Retrofit Strategies Towards Net Zero Energy Building in Sync with the SDGs: A Review and Bibliometric Analysis DOI
Md Ozair Arshad, Abid Haleem, Muhammad Shahid Nadeem

et al.

Journal of Building Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 112574 - 112574

Published: April 1, 2025

Language: Английский

Citations

0
All-in-one design and fabrication of vacuum insulation panels for ultra-efficient pipeline thermal management DOI
Zhou Chen,

Jingyou Miao,

Hui Chen

et al.

Applied Thermal Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 126501 - 126501

Published: April 1, 2025

Language: Английский

Citations

0
Exploration and Development of a Structured Multi-Level Fusion in an Ensemble-Based Large-Scale Meta-Decision Model DOI
B. B. Zaidan, Weiping Ding, Hassan A. Alsattar

et al.

Information Fusion, Journal Year: 2024, Volume and Issue: unknown, P. 102911 - 102911

Published: Dec. 1, 2024

Language: Английский

Citations

2
Agri-Solar Water Pumping design, energy, and environmental analysis: A comprehensive study in Tropical Humid climate DOI Creative Commons
Rittick Maity, K. Sudhakar, Amir Abdul Razak

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(21), P. e39604 - e39604

Published: Oct. 22, 2024

Language: Английский

Citations

1
Assessing the performance of smart buildings and smart retrofit interventions through key performance indicators: Defining minimum performance thresholds DOI
Joud Al Dakheel, Claudio Del Pero, Fabrizio Leonforte

et al.

Energy and Buildings, Journal Year: 2024, Volume and Issue: 325, P. 114988 - 114988

Published: Nov. 7, 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