[HTML][HTML] Identification of benefits, challenges, and pathways in E-commerce industries: An integrated two-phase decision-making model
The e-commerce industry has seen significant growth over the past decade as it focuses on
convenience and accessibility, leading to a surge in online shopping with more and more …
convenience and accessibility, leading to a surge in online shopping with more and more …
[HTML][HTML] Developing 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 developing 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 …
Assessment of the challenges to urban sustainable development using an interval-valued fermatean fuzzy approach
Amidst the battle against sustainability challenges, global attention is increasingly directed
towards urban development. A comprehensive review of current literature pertaining to …
towards urban development. A comprehensive review of current literature pertaining to …
Bitcoin network-based anonymity and privacy model for metaverse implementation in Industry 5.0 using linear Diophantine fuzzy sets
ZK Mohammed, AA Zaidan, HB Aris, HA Alsattar… - Annals of Operations …, 2023 - Springer
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 …
Fermatean fuzzy covering-based rough set and their applications in multi-attribute decision-making
Rough set theory (RST) is a common and effective tool for data processing. In order to
extend the range of data that RST and its related theories can handle, scholars have …
extend the range of data that RST and its related theories can handle, scholars have …
Prioritization of strategies for a sustainable regional transportation infrastructure by hybrid spherical fuzzy group decision-making approach
Abstract The East African Community, inspired by successful trading blocs, has already
begun major transportation strategic plans that will necessarily require large investments …
begun major transportation strategic plans that will necessarily require large investments …
Rough Fermatean fuzzy decision-based approach for modelling IDS classifiers in the federated learning of IoMT applications
OS Albahri, MS Al-Samarraay, HA AlSattar… - Neural Computing and …, 2023 - Springer
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 …
[PDF][PDF] ˇZ. Stevic, I. Badi, and KM Ndiema,“Strategies for enhancing industry 4.0 adoption in East Africa: An integrated spherical fuzzy swara-waspas approach,”
Developed countries have successfully implemented various Industry 4.0 (I4. 0) initiatives,
showcasing their ability to reap the benefits of this new industrial revolution. Active pursuit of …
showcasing their ability to reap the benefits of this new industrial revolution. Active pursuit of …
Developing IoT sustainable real-time monitoring devices for food supply chain systems based on climate change using circular intuitionistic fuzzy set
Internet of Things (IoT) real-time monitoring devices, which compromise sustainable sensing
parameter-based climate change, are developed to minimise food loss and waste to support …
parameter-based climate change, are developed to minimise food loss and waste to support …