In order to solve a number of real decision-making problems, over time, a number of multiple
criteria decisionmaking methods have been proposed. The EDAS method is one of the …

Objective Manual evaluation of machine learning algorithms and selection of a suitable
classifier from the list of available candidate classifiers, is highly time consuming and …

This paper develops a novel hybrid information fusion approach that integrates cloud model
(CM), Dempster–Shafer (D–S) evidence theory and Monte Carlo (MC) simulation technique …

Green material selection is a crucial step for the material industry to comprehensively
improve material properties and promote sustainable development. However, because of …

This paper proposes a novel hybrid approach that merges fuzzy matter element (FME),
Monte Carlo (MC) simulation technique, and Dempster–Shafer (D–S) evidence theory to …

Problem Statement: Improper triage and prioritization of big-data patients may result in
erroneous strategic decisions. An example of such wrong decision making includes the …

The goal of this paper is to compare quality assurance in different contractor contracts by
means of multi-attribute decision-making (MADM) and to select the best option. For this …

Linguistic intuitionistic fuzzy numbers (LIFNs) is a new concept in describing the intuitionistic
fuzzy information, which membership and non-membership are expressed by linguistic …

Feature selection (FS) is an essential component of data mining and machine learning. Most
researchers devoted to get more effective method with high accuracy and fewer features, it …

Studies have shown that online product reviews significantly affect consumer purchase
decisions. However, it is difficult for the consumer to read online product reviews one by one …