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 …
[HTML][HTML] A novel spherical decision-making model for measuring the separateness of preferences for drivers' behavior factors associated with road traffic accidents
Enhancing road safety through a more effective understanding of drivers' behavior is a
viable approach to curbing traffic collisions. When evaluating driving behavior, the selection …
viable approach to curbing traffic collisions. When evaluating driving behavior, the selection …
Interval-valued Pythagorean fuzzy operational competitiveness rating model for assessing the metaverse integration options of sharing economy in transportation …
The rise of the sharing economy (SE) has enabled new forms of urban mobility and had a
substantial impact on the transportation sector. The applications of SE transportation lessen …
substantial impact on the transportation sector. The applications of SE transportation lessen …
Exploring the integration of multi criteria decision analysis in the clean energy biodiesels applications: A systematic review and gap analysis
Biodiesel has gained tremendous attention from researchers due to its environmentally
friendly and renewable fuel manufactured domestically from vegetable oils or animal fats …
friendly and renewable fuel manufactured domestically from vegetable oils or animal fats …
Selection of the best Big Data platform using COBRAC-ARTASI methodology with adaptive standardized intervals
The advanced technologies emerging in Industry 4.0 are forcing companies in different
industries to review their business models and become more compatible with advanced …
industries to review their business models and become more compatible with advanced …
[HTML][HTML] A pythagorean fuzzy approach to evaluate the challenges to implementing circular economy in the glass manufacturing industry: Implications for sustainable …
Glass is extensively used in both domestic and commercial settings and is recognized for its
high recyclability and reusability. Organizations have been actively trying to adopt circular …
high recyclability and reusability. Organizations have been actively trying to adopt circular …
Optimization-based probabilistic decision support for assessing building information modelling (BIM) maturity considering multiple objectives
The phase of operation and maintenance (O&M) is the most time-consuming and cost-
intensive stage in the project life cycle. However, the potential benefits of Building …
intensive stage in the project life cycle. However, the potential benefits of Building …
Assessing the sustainable energy storage technologies using single-valued neutrosophic decision-making framework with divergence measure
Energy storage technologies (ESTs) facilitate to handle intermittency of energy resources by
storage surplus energy to utilize when it is required. Due to influence of numerous …
storage surplus energy to utilize when it is required. Due to influence of numerous …
Fermatean fuzzy TOPSIS method and its application in ranking business intelligence-based strategies in smart city context
SS Majd, A Maleki, S Basirat… - Journal of Operations …, 2025 - jopi-journal.org
With the expansion of smart cities, the use of business intelligence (BI) has emerged as a
crucial tool for resource optimization, increasing efficiency, and improving the citizens' …
crucial tool for resource optimization, increasing efficiency, and improving the citizens' …
A novel carbon reduction engineering method-based deep Q-learning algorithm for energy-efficient scheduling on a single batch-processing machine in …
The semiconductor industry is a resource-intensive sector that heavily relies on energy,
water, chemicals, and raw materials. Within the semiconductor manufacturing process, the …
water, chemicals, and raw materials. Within the semiconductor manufacturing process, the …