The aim of this paper is to present the use of an innovative approach based on MCDM
methods as the main component of a consumer Decision Support System (DSS) by …

Purpose The paper proposes a decision support system for selecting logistics providers
based on the quality function deployment (QFD) and the technique for order preference by …

Multiple attribute decision making forms an important part of the decision process for both
small (individual) and large (organization) problems. When available information is precise …

In past recent years, by increasing in the considerations on the significance of data science
many studies have been developed concerning the big data structured problems. Along with …

One of the most primary issues that organizations have to deal with is incorporating massive
structured data problems, simultaneously. Additionally, a vital division in any organization is …

Abstract Data Mining (DM) and Multiple Attribute Decision Making (MADM) are two fast
growing trends in Operations Research (OR)/Management Science (MS). In this article, we …

Анотація Information plays an important role in decision-making processes. The methods of
data processing and analysis are of particular importance. Such methods should provide …

This chapter presents the latest IDSSs, such as text analytics and mining based DSSs;
ambient intelligence and the internet of things-based DSSs; biometrics-based DSSs; …

Data mining algorithms can process target data and extract useful hidden information, which
is helpful for decision making. However, current mining algorithms have some shortcomings …

Due to increase in chronic disease, aging, and medical costs, we are approaching a world
where basic healthcare would become out of reach to most people. Fortunately modern …