Sensitivity analysis in multi-criteria decision making: A state-of-the-art research perspective using bibliometric analysis
In the present era, the implementation of scientifically grounded Multi-Criteria Decision
Making (MCDM) has emerged as a pivotal solution to diverse decision-making challenges …
Making (MCDM) has emerged as a pivotal solution to diverse decision-making challenges …
Bitcoin network-based anonymity and privacy model for metaverse implementation in Industry 5.0 using linear Diophantine fuzzy sets
Metaverse is a new technology expected to generate economic growth in Industry 5.0.
Numerous studies have shown that current bitcoin networks offer remarkable prospects for …
Numerous studies have shown that current bitcoin networks offer remarkable prospects for …
Evaluation of the routing algorithms for NoC-based MPSoC: a fuzzy multi-criteria decision-making approach
Routing algorithms play a crucial role in the performance of Network-on-Chip (NoC)-based
Multi-Processor Systems-on-Chip (MPSoC). However, the selection of appropriate and …
Multi-Processor Systems-on-Chip (MPSoC). However, the selection of appropriate and …
[HTML][HTML] Develo** sustainable management strategies in construction and demolition wastes using a q-rung orthopair probabilistic hesitant fuzzy set-based decision …
Sustainable management of construction and demolition wastes (CDWs) has become a
pressing global issue in social, environmental and economic contexts, and it involves …
pressing global issue in social, environmental and economic contexts, and it involves …
Three-way decision-based conditional probabilities by opinion scores and Bayesian rules in circular-Pythagorean fuzzy sets for develo** sustainable smart living …
Sustainable smart living (SSL) is a crucial component in the emergence of smart cities.
These cities offer potential solutions to address pressing urban challenges, including traffic …
These cities offer potential solutions to address pressing urban challenges, including traffic …
Develo** deep transfer and machine learning models of chest X-ray for diagnosing COVID-19 cases using probabilistic single-valued neutrosophic hesitant fuzzy
This study presents a novel dynamic localisation-based decision (DLBD) with fuzzy
weighting with zero inconsistency (FWZIC) under a probabilistic single-valued neutrosophic …
weighting with zero inconsistency (FWZIC) under a probabilistic single-valued neutrosophic …
Uncertainty decision modeling approach for control engineering tools to support industrial cyber-physical metaverse smart manufacturing systems
The uncertainty decision modeling of control engineering tools to support industrial cyber-
physical metaverse smart manufacturing systems (ICPMSMSs) falls under the multicriteria …
physical metaverse smart manufacturing systems (ICPMSMSs) falls under the multicriteria …
[HTML][HTML] Temporal PROMETHEE II—New multi-criteria approach to sustainable management of alternative fuels consumption
J Wątróbski - Journal of Cleaner Production, 2023 - Elsevier
Alternative fuels are the subject of growing interest among both researchers and
practitioners. In this aspect, to properly handle the problem of proper evaluating alternative …
practitioners. In this aspect, to properly handle the problem of proper evaluating alternative …
Rough Fermatean fuzzy decision-based approach for modelling IDS classifiers in the federated learning of IoMT applications
Intrusion detection systems (IDSs) are commonly employed to mitigate network security
threats in various fields, including federated learning applications within the Internet of …
threats in various fields, including federated learning applications within the Internet of …
[BUCH][B] Uncertain labeling graphs and uncertain graph classes (with survey for various uncertain sets)
T Fujita, F Smarandache - 2024 - books.google.com
Graph theory, a branch of mathematics, studies the relationships between entities using
vertices and edges. Uncertain Graph Theory has emerged within this field to model the …
vertices and edges. Uncertain Graph Theory has emerged within this field to model the …