Fleet operators periodically update and improve their vehicles in order to take opportunity of
new technologies. Alternative-fuel vehicles give opportunities to lower fuel costs as well as …

As an attractive generalization of the intuitionistic fuzzy set (IFS), q-rung orthopair fuzzy set
(q-ROFS) provides the decision makers (DMs) with a wide window for preference elicitation …

Fastest growing population, rapid urbanization, and growth in the disciplines of science and
technology cause continually development in the amount and diversity of solid waste. In …

Fuel cell electric vehicles (FCEVs) are a contemporary technology that is making headway
in the expanding automotive industry. To promote FCEV effectiveness, environmentally …

As a powerful generalization to intuitionistic fuzzy set (IFS), q-rung orthopair fuzzy set (q-
ROFS) is proposed by Yager, which can effectively mitigate the weakness of IFS and provide …

The necessity and policy of eco-economy stimulate enterprises to attain sustainability by
executing supply chain management. Generally, the evaluation process of sustainable …

Supplier selection and evaluation is a crucial decision-making issue to establish an effective
supply chain. Higher-order fuzzy decision-making methods have become powerful tools to …

A q-rung orthopair fuzzy (q-ROF) set (q-ROFS) is one of the advanced fuzzy sets capable of
processing complex real-world information satisfactorily. q-ROF distance measures are used …

As enterprises pay more and more attention to environmental issues, the green supply chain
management (GSCM) mode has been extensively utilized to guarantee profit and …

The main purpose of the current study is to explore a novel q-rung orthopair fuzzy score
function and extend the measurement of alternatives and ranking according to the …