In many real-life decision making (DM) situations, the available information is vague or
imprecise. To adequately solve decision problems with vague or imprecise information …

In recent decades, several mathematical methods have been developed for selecting the
most preferable alternatives. Among them, the MCDM (Multiple Criteria Decision Making) …

Fuzziness (entropy) is a commonly used measure of uncertainty for type-1 fuzzy sets. For
interval type-2 fuzzy sets (IT2 FSs), centroid, cardinality, fuzziness, variance and skewness …

Interval type-2 fuzzy sets (IT2 FSs) are a very useful means to depict the decision information
in the process of decision making. In this article, we investigate the group decision making …

Five uncertainty measures have previously been defined for interval Type-2 fuzzy sets (IT2
FSs), namely centroid, cardinality, fuzziness, variance and skewness. Based on a recently …

In this paper, we present a new method for fuzzy multiple attributes decision making based
on interval type-2 fuzzy sets. First, we present a new fuzzy ranking method based on the α …

The TOPSIS method is a technique for establishing order preference by similarity to the ideal
solution, and was primarily developed for dealing with real-valued data. This technique is …

This paper presents a new interpretation of intuitionistic fuzzy sets in the framework of the
Dempster–Shafer theory of evidence (DST). This interpretation makes it possible to …

The synthesis of fuzzy logic and methods of the Dempster–Shafer theory (the so-called rule-
base evidential reasoning) is proved to be a powerful tool for building expert and decision …

In this paper, the application of the intuitionistic fuzzy rule-base evidential reasoning
(IFRBER) to the development of a new optimized automated trading system (ATS) for the …