Evaluating the blockchain-based healthcare supply chain using interval-valued Pythagorean fuzzy entropy-based decision support system
In the current era, blockchain technology has emerged as a novel technique to maintain the
operations of healthcare management systems. The global COVID-19 disease has led to …
operations of healthcare management systems. The global COVID-19 disease has led to …
An integrated Pythagorean fuzzy fairly operator-based MARCOS method for solving the sustainable circular supplier selection problem
Due to intensified sensitivity towards environmental protection and social responsibility, the
concept of sustainable development has been widely mentioned in various industries …
concept of sustainable development has been widely mentioned in various industries …
Estimating intercity heavy truck mobility flows using the deep gravity framework
Accurate estimation of intercity heavy truck mobility flows is of vital importance to urban
planning, transportation management and logistics operations. The inaccessibility of big …
planning, transportation management and logistics operations. The inaccessibility of big …
Multi-criteria decision analysis model using the q-rung orthopair fuzzy similarity measures and the COPRAS method for electric vehicle charging station site selection
Site selection for electric vehicle charging station (EVCS) plays an important role in
promoting electric vehicle industry development. With the involvement of uncertainty and …
promoting electric vehicle industry development. With the involvement of uncertainty and …
Addressing the challenges of using autonomous robots for last-mile delivery
E Ayyildiz, M Erdogan - Computers & Industrial Engineering, 2024 - Elsevier
The importance of last-mile delivery (LMD) in today's logistics networks has increased
recently due to the rising popularity of e-commerce and home delivery. Various LMD modes …
recently due to the rising popularity of e-commerce and home delivery. Various LMD modes …
[HTML][HTML] Selection of electric bus models using 2-tuple linguistic T-spherical fuzzy-based decision-making model
Due to energy's global reliance on fossil fuels and population growth, Greenhouse gas
(GHG) emissions and their repercussions have attracted attention. Due to their cheaper cost …
(GHG) emissions and their repercussions have attracted attention. Due to their cheaper cost …
An integrated interval-valued Pythagorean fuzzy WISP approach for industry 4.0 technology assessment and digital transformation
Abstract Implications of industry 4.0 (I4. 0) for sustainable development have gained
widespread attention from the perspectives of the circular economy, triple bottom line and …
widespread attention from the perspectives of the circular economy, triple bottom line and …
Selection of EVs as Tourist and Logistic Means of Transportation in Bosnia and Herzegovina's Nature Protected Areas Using Z‐Number and Rough Set Modeling
This research focuses on the use of electric vehicles (EVs) to transport visitors and cargo
within Bosnia and Herzegovina's Kozara National Park. Reduced air pollution and the …
within Bosnia and Herzegovina's Kozara National Park. Reduced air pollution and the …
Optimization methods as a base for decision making in land consolidation projects ranking
Land consolidation (LC) is an activity that brings numerous benefits to rural areas. However,
being resource demanding, the LC requires a decision on where it should be provided or …
being resource demanding, the LC requires a decision on where it should be provided or …
Telescopic forklift selection through a novel interval-valued Fermatean fuzzy PIPRECIA–WISP approach
Telescopic forklifts stand apart from other forklift types, boasting numerous benefits. They
offer notable advantages, such as enhanced manoeuvrability, accessibility to elevated …
offer notable advantages, such as enhanced manoeuvrability, accessibility to elevated …