COVID-19 has caused negative impacts on blood supply chain management, due to
uncertain supply/demand and logistical disruptions. In the early weeks following the COVID …

The infectious disease brought on by COVID-19 is the pandemic that has put the lives and
economy of the entire planet in jeopardy. The only alternatives available before the creation …

As the novel coronavirus pandemic wreaked havoc globally, governments have
implemented massive vaccination programs to tackle it. However, since the pandemic's …

The establishment of fuzzy relations and the fuzzification of time series are the top priorities
of the model for predicting fuzzy time series. A lot of literature studied these two aspects to …

Using medical science alongside time series data analysis can be given a strong tool to
develop efficient decision support systems in Corona pandemic. In this regard, many hybrid …

Robotic roller technology is important for ensuring the compaction quality and construction
efficiency of earth-rock dams, and its key challenge is related to path tracking control. The …

Ozone prediction, a key role for ozone pollution control, is facing the following challenges,
ie, the complex evolution trend of ozone, the cross-interference phenomena between ozone …

Hesitant fuzzy set (HFS) is an ideal tool to deal with hesitancy situation arises due to
collection of membership values for each time series datum. Many researchers developed …

In this article, we propose a computational-based partitioning (CBP) and Strong α, β-cut
based novel intuitionistic fuzzy time series (IFTS) forecasting method. Construction of …

In this paper, we propose a novel multiattribute decision making (MADM) method using the
nonlinear programming (NLP) methodology and the proposed score function of interval …