A state-of-the-art review on D number (2012-2022): A scientometric analysis
A Sotoudeh-Anvari - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
D number theory is a relatively new uncertainty reasoning approach and its application has
been gaining momentum due to its distinctive features and potential advantages. This theory …
been gaining momentum due to its distinctive features and potential advantages. This theory …
Evaluation of ecological governance in the Yellow River basin based on Uninorm combination weight and MULTIMOORA-Borda method
As a river of great strategic significance in China, the ecological governance of the Yellow
River is an important issue. As a multi-attribute decision-making (MADM) problem …
River is an important issue. As a multi-attribute decision-making (MADM) problem …
[HTML][HTML] A novel best-worst method and Kendall model integration for optimal selection of digital voting tools to enhance citizen engagement in public decision making
Urban transport system development often involves a central decision-making process by
local government representatives or transport company managers. It is imperative to align …
local government representatives or transport company managers. It is imperative to align …
Decision making with intuitionistic fuzzy best-worst method
X Cheng, C Chen - Expert Systems with Applications, 2024 - Elsevier
Best-worst method (BWM) is an efficient multi-attribute decision-making (MADM) method.
This paper puts forward two decision-making methods with intuitionistic fuzzy (IF) BWM (IF …
This paper puts forward two decision-making methods with intuitionistic fuzzy (IF) BWM (IF …
Circular economy and fuzzy set theory: A bibliometric and systematic review based on Industry 4.0 technologies perspective
Abstract The Circular Economy (CE) is receiving more attention, especially in Industry 4.0
(I4. 0). In the face of several ambiguous and uncertain information, fuzzy techniques based …
(I4. 0). In the face of several ambiguous and uncertain information, fuzzy techniques based …
Machine learning modeling of base flow generation potential: A case study of the combined application of BWM and Fallback bargaining algorithm
AN Khiavi - Journal of Hydrology, 2024 - Elsevier
The study of base flow is essential for sustainable water management. By understanding the
dynamics of base flow, policymakers can make informed decisions to ensure the long-term …
dynamics of base flow, policymakers can make informed decisions to ensure the long-term …
A novel integrated approach based on best–worst and VIKOR methods for green supplier selection under multi-granularity extended probabilistic linguistic …
C Zhu, X Wang - Complex & Intelligent Systems, 2024 - Springer
With consideration for the extensive resources consumption and environmental degradation
being on the rise today, implementing green development strategy to pursue both …
being on the rise today, implementing green development strategy to pursue both …
An ideal plastic waste management system based on an enhanced MCDM technique
The Fermatean probabilistic hesitant fuzzy set (FPHFS) concept is a method that combines
Fermatean fuzzy sets and PHFS to provide detailed MCDM problem solutions. The …
Fermatean fuzzy sets and PHFS to provide detailed MCDM problem solutions. The …
An α-cut intervals based Fuzzy Best–Worst Method for Multi-Criteria Decision-Making
HM Ratandhara, M Kumar - Applied Soft Computing, 2024 - Elsevier
To address ambiguity arising from linguistic decision judgments, Guo and Zhao introduced a
model of the well-known Multi-Criteria Decision-Making (MCDM) method, Best-Worst …
model of the well-known Multi-Criteria Decision-Making (MCDM) method, Best-Worst …
What hinders the green supply chain management adoption in the Indian aluminium sector?
SS Panigrahi, S Mishra, B Sahu - Environment, Development and …, 2024 - Springer
Aluminium, being a lightweight, corrosion-resistant, and recyclable material, offers a wide
range of applications starting from transportation to construction, to electronics and …
range of applications starting from transportation to construction, to electronics and …