In response to environmental pollution and the energy crisis, the number of electric vehicles
(EV) has increased year by year. However, frequent EV accidents have pushed the safety of …

The utilization of linguistic variables is of vital importance for qualitative information
processing in mathematical modelling and decision making under uncertainty. The primary …

The determination of both thresholds in decision-theoretic rough sets is an important
problem of study that has aroused widespread attention in recent years. Although many …

In this paper, multi-criteria decision-making (MCDM) methods with probabilistic hesitant
fuzzy information are proposed based on the dominance degree of probabilistic hesitant …

Online product reviews significantly impact the online purchase decisions of consumers.
However, extant decision support models have neglected the randomness and fuzziness of …

Decision support is a vital function in electronic commerce (e-commerce). The purpose of
this paper is to construct a review-based decision support model for items comparison in e …

Linguistic intuitionistic fuzzy set (LIFS) is the better way to deal with the uncertain and
imprecise information in group decision-making problems. On the other hand, the set pair …

Single-valued trapezoidal neutrosophic numbers (SVTNNs) have a strong capacity to depict
uncertain, inconsistent, and incomplete information about decision-making problems …

Linguistic intuitionistic fuzzy numbers (LIFNs), characterized by a linguistic membership
degree, linguistic non-membership degree, and linguistic indeterminacy degree, represent a …

In this study, comprehensive multi-criteria decision-making (MCDM) methods are
investigated under bipolar neutrosophic environment. First, the operations of BNNs are …