In decision making, situations where all experts are able to efficiently express their
preferences over all the available options are the exception rather than the rule. Indeed, the …

Interval type-2 fuzzy logic systems (IT2 FLSs) have demonstrated better abilities to handle
uncertainties than their type-1 (T1) counterparts in many applications; however, the high …

In recent decades, several types of sets, such as fuzzy sets, interval‐valued fuzzy sets,
intuitionistic fuzzy sets, interval‐valued intuitionistic fuzzy sets, type 2 fuzzy sets, type n fuzzy …

Abstract Interval type-2 (IT2) fuzzy systems have become increasingly popular in the last 20
years. They have demonstrated superior performance in many applications. However, the …

A social network analysis (SNA) trust–consensus based group decision making model with
interval-valued fuzzy reciprocal preference relation (IFRPR) is investigated. The main …

Interval type-2 fuzzy logic controllers (IT2 FLCs) have recently been attracting a lot of
research attention. Many reported results have shown that IT2 FLCs are better able to …

Interval type-2 fuzzy set (IT2FS) offers interesting avenue to handle high order information
and uncertainty in decision support system (DSS) when dealing with both extrinsic and …

Type-reduction algorithms are very important for type-2 fuzzy sets and systems. The earliest
one, and also the most popular one, is the Karnik-Mendel Algorithm, which is iterative and …

QUALIFLEX, a generalization of Jacquet-Lagreze's permutation method, is a useful
outranking method in decision analysis because of its flexibility with respect to cardinal and …

The aim of this paper is to develop an ELECTRE (ELimination Et Choice Translating REality)-
based outranking method for multiple criteria group decision-making within the environment …