This paper aims at studying the effect of uncertain parameters on a two-link planar manipulator using a fuzzy logic approach. The uncertain parameters are modeled as fuzzy variables and the dynamic simulation of the robot is performed using fuzzy dynamic analysis. Two case studies are considered to analyze the dynamic behavior of the robot manipulator: a) uncertain payload and b) uncertain payl...

Fuzzy cell mapping is a novel computational technique that combines fuzzy logic and a simple cell mapping method. In a simple cell mapping method, the information about mapping locations of image cells is never incorporated into the method. This limits the usage of a simple cell mapping method. In our fuzzy cell mapping method, we account for the mapping locations of image cells and incorporate...

The use of fuzzy logic for the modeling of processes (such as a technical process or the behavior of a human operator in a process) is often motivated by the interpretability of the resulting fuzzy system/model. In fuzzy models, the dependencies of the variables of the considered process are described by qualitative (linguistic) if–then rules, which correspond to the way in which human knowledg...

In this paper, a comparative study was carried out to evaluate the real-time performance of fuzzy proportional-integral plus fuzzy proportional-derivative (Fuzzy PI + Fuzzy PD) controller with the real-time performance of Conventional PI for a liquid-level process experiment. The process considered for this experiment shows highly nonlinear behavior due to equal percentage pneumatic control val...

Intuitionistic fuzzy relations on finite universes can be represent by intuitionistic fuzzy matrices and the limiting behavior of the power matrices depends on the algebraic operation employed on the matrices. In this paper, the power of intuitionistic fuzzy matrices with maxgeneralized mean-mingeneralized mean operation have been studied. Here it is shown that the power of intuitionistic fuzzy...

Fuzzy classification rules allow the definition of readable and interpretable rule bases. Nevertheless, the shape of the resulting class borders of fuzzy classification rules depends to a great part on the used tnorm and t-conorm and can sometimes even be counter-intuitive. In this paper we discuss the shape of class borders between overlapping rules under consideration of different t-norms and...

This paper introduces the notion of multidimensional fuzzy finite tree automata (MFFTA) and investigates its closure properties from the area of automata and language theory. MFFTA are a superclass of fuzzy tree automata whose behavior is generalized to adapt to multidimensional fuzzy sets. An MFFTA recognizes a multidimensional fuzzy tree language which is a regular tree language so that for e...

An adaptive method to construct compact fuzzy systems for solving pattern classiication problems is presented. The method consists of two phases: a rule identiication phase and a rule selection phase. The rule identiication phase generates fuzzy rules from numerical data through a simple fuzzy grid method, then tunes the resulting fuzzy rules by training a neuro-fuzzy network used to model the ...

A b s t r a c t Adaptive behavioral capabilities are necessary for robust rover navigation in unstructured and partiallymapped environments. A control approach is described which exploits the approximate reasoning capability of fuzzy logic to produce adaptive motion behavior. In particular, a behavior-baaed architecture for hierarchical fuzzy control of microrovers is presented. Its structure i...

This paper describes a simulation model for analyzing artificial emotion injected to design the game characters. Most of the game storyboard is interactive in nature and the virtual characters of the game are equipped with an individual personality and dynamic emotion value which is similar to real life emotion and behavior. The uncertainty in real expression, mood and behavior is also exhibite...