Now showing items 51-60 of 125
Interval type-2 fuzzy decision making
This paper concerns itself with decision making under uncertainty and the consideration of risk. Type-1 fuzzy logic by its (essentially) crisp nature is limited in modelling decision making as there is no uncertainty in ...
Type-2 Fuzzy Logic: Challenges and Misconceptions
Type-2 Fuzzy Elliptic Membership Functions for Modeling Uncertainty
Whereas type-1 and type-2 membership functions (MFs) are the core of any fuzzy logic system, there are no performance criteria available to evaluate the goodness or correctness of the fuzzy MFs. In this paper, we make ...
An investigation into alternative methods for the defuzzification of an interval type-2 fuzzy set.
The number of applications of interval type-2 fuzzy logic to real world problems is growing. To date such systems have used type-reduction or an approximation of typereduction to arrive at final crisp output from the ...
Interval-Valued Fuzzy Decision Trees with Optimal Neighbourhood Perimeter
This research proposes a new model for constructing decision trees using interval-valued fuzzy membership values. Most existing fuzzy decision trees do not consider the uncertainty associated with their membership values, ...