Companies are constantly changing in their organization and the way they treat information.
In this sense, relevant data analysis processes arise for decision makers. Similarly, to …

Traditional evolution algorithms tend to start the search from scratch. However, real-world
problems seldom exist in isolation and humans effectively manage and execute multiple …

Using a multi-criteria decision support method (WASPAS) to analyze and rank alternatives,
this article proposes a method to assist in the selection of helicopter models that are the …

Improving the local urban transport system's quality is often seen as one of the critical points
for the government and the local operator. An amelioration of the system can improve users' …

The paper undertakes the problem of proper structuring of multi-criteria decision support
models. To achieve that, a methodological framework is proposed. The authors' framework …

Decision-making processes increasingly use models based on various methods to ensure
professional analysis and evaluation of the considered alternatives. However, the …

A novel Nonlinear Consequent Part Recurrent Type-2 Fuzzy System (NCPRT2FS) is
presented for the modeling of renewable energy systems. Not only does this paper present a …

It will be a huge challenge for China to achieve carbon neutrality by 2060. At present, China
needs to understand its own carbon neutrality status and then scientifically plan a path to …

Sustainable development goals (SDG) involve not only environmental issues but also
economic, social, and cultural concerns. Higher education plays a key role in promoting …

Background: Case-Based Reasoning (CBR) is a problem-solving paradigm that uses
knowledge of relevant past experiences (cases) to interpret or solve new problems. CBR …