Multi criteria decision making (MCDM) is a discipline of operations research which has
widely studied by researchers and practitioners. It deals with evaluating and ranking …

This paper presents a novel application of a hybrid learning approach to the optimisation of
membership and nonmembership functions of a newly developed interval type-2 …

In this paper, we present a new method for fuzzy multiple attributes group decision-making
based on the proposed ranking method of trapezoidal interval type-2 fuzzy sets and the …

This paper presents an approach to prediction based on a new interval type-2 Atanassov-
intuitionistic fuzzy logic system (IT2AIFLS) of the Takagi-Sugeno-Kang fuzzy inference with …

This study presents a comparative evaluation of interval type-2 intuitionistic fuzzy logic
system using three derivative-based learning algorithms on noisy regression problems. The …

Derivative-based algorithms have been adopted in the literature for the optimization of
membership and non-membership function parameters of interval type-2 (T2) intuitionistic …

Several fuzzy modeling techniques have been employed for handling uncertainties in data.
This study presents a comparative evaluation of a new class of interval type-2 fuzzy logic …

This thesis investigates a new paradigm for uncertainty modelling by employing a new class
of type-2 fuzzy logic system that utilises fuzzy sets with membership and non-membership …

This research investigates how to enable shared control of streetlight for residents in their
own street through a group decision-making method. The decision-makers could collectively …

Several fuzzy modeling techniques have been employed for handling uncertainties in data.
This study presents a comparative evaluation of a new class of interval type-2 fuzzy logic …