Analytic hierarchy process (AHP) is a useful method in multi-criteria decision making problems. Crisp comparison matrices produce crisp weight estimates. It is logical for an interval or fuzzy comparison matrix to give an interval or fuzzy weight estimate. In this paper, a new method is proposed to generate interval weight estimate from an interval comparison matrix, which can be either consist...

In this paper, advanced interval type-2 fuzzy sliding mode control (AIT2FSMC) for robot manipulator is proposed. The proposed AIT2FSMC is a combination of interval type-2 fuzzy system and sliding mode control. For resembling a feedback linearization (FL) control law, interval type-2 fuzzy system is designed. For compensating the approximation error between the FL control law and interval type-2...

chaotic systems are nonlinear dynamic systems, the main feature of which is high sensitivity to initial conditions. to initiate a design process in fuzzy model, chaotic systems must first be represented by t-s fuzzy models. in this paper, a new fuzzy modeling method based on sector nonlinearity approach has been recommended for chaotic systems relating to initial condition variations using the ...

osting by E Abstract Direct adaptive fuzzy controller is a class of adaptive fuzzy controllers which use fuzzy logic system (FLS) as controller. Interval type-2 fuzzy sets are able to model and minimize the numerical and linguistic uncertainties associated with the inputs and outputs of fuzzy logic controller (FLC). In this paper, a direct adaptive interval type-2 FLC is proposed for controllin...

The purpose of this paper is to study a type-2 fuzzy multi-attribute decision making (MADM) methodology. Multi-Attributive Border Approximation area Comparison (MABAC) method is extended for MADM based on trapezoidal interval type-2 fuzzy numbers (TrIT2FNs).This method is a pragmatic and reliable tool for rational decision making due to its own characteristics. A systematic evaluation and asses...

Recently there has been significant growth in research interest in type-2 fuzzy logic. Type-2 fuzzy logic is extension of type-1 (regular) fuzzy logic where the membership grade in a fuzzy set is itself measured as a fuzzy number. Much of this growth has only been concerned with type-2 interval fuzzy systems, a subset of type-2 fuzzy systems, where the membership grade of a fuzzy set is given a...

Choosing the most appropriate aircraft type for a given route is one of crucial issues that decision makers at airline companies have to address under uncertainty based on various commercial, marketing and operational criteria. A novel multi-criteria making approach integrating Entropy-based Weighted Aggregated Sum Product Assessment (WASPAS) method interval type-2 hesitant fuzzy sets (IT2HFS) ...