The task of a standard fuzzy logic controller is to find a crisp control action from the fuzzy rulebase and from a set of crisp inputs. In this paper we propose an extension of this type of reasoning using Mobile Agents which works with crisp data, intervals and/or linguistic terms as inputs and with various matching methods. For any matching one obtain a crisp value as output using Slave Agent...

Mamdani fuzzy models have always been used as black-box models. Their structures in relation to the conventional model structures are unknown. Moreover, there exist no theoretical methods for rigorously judging model stability and validity. I attempt to provide solutions to these issues for a general class of fuzzy models. They use arbitrary continuous input fuzzy sets, arbitrary fuzzy rules, a...

In this study, the road traffic congestion of Dehradun city is evaluated from traffic flow information using fuzzy techniques. Three different approaches namely Sugeno, Mamdani models which are manually tuned techniques, and an Adaptive Neuo-Fuzzy Inference System (ANFIS) which an automated model decides the ranges and parameters of the membership functions using grid partition technique, based...

A control law based on fuzzy logic features was developed and validated for an anaerobic wastewater treatment (AWT) process. The controlled variable was the concentration of Volatile Fatty Acids (VFA) in the anaerobic reactor and the manipulated variable was the input flow rate. In order to use it as the input in a Mamdani-inference fuzzy set, the controlled variable was treated using an algori...

|A novel technique of designing application speci c defuzzi cation strategies with neural learning is presented. The proposed neural architecture considered as a universal defuzzi cation approximator is validated by showing the convergence when approximating several existing defuzzi cation strategies. The method is successfully tested with fuzzy controlled reverse driving of a model truck. The ...

The design of controllers for nonlinear systems in industry is a complex and difficult task. One approach which has shown promise for solving nonlinear control problems is the use of fuzzy logic control. This paper proposes a new method utilizing proportional–integral-derivative (PID) control as a hybrid fuzzy PID controller for nonlinear system. The salient feature of the proposed approach is ...

In this paper, the designed schemes for two fuzzy controllers, Mamdani fuzzy controller and Takagi-Sugeno fuzzy controller, through the scaling factor adaptation are proposed. The proposed adaptation laws for the output scaling factor, which respectively result from the direct adaptive approach, are used to appropriately determine the control signal of the fuzzy controllers. The great advantage...

We propose a Mamdani-Type Fuzzy Inference based posterior decision-making approach to multi-objective diet optimization problem. optimize the problem with evolutionary algorithms that result in tens/hundreds of non-dominated solutions which is too large pick one them by decision-maker. Even though all are optimized for objectives simultaneously, not objective functions may be equally important ...

The choice of course study can be an important decision in a person's life and have huge impact on their career future. Some the problems that are often faced lack information, parental pressure, trends or social experience, cost understanding oneself. Faced with this problem, students may seek help from counselor advisor, do own research about study, take personality tests, practical experienc...

Accurately estimating the software size, cost, effort and schedule is probably the biggest challenge facing software developers today. It has major implications for the management of software development because both the overestimates and underestimates have direct impact for causing damage to software companies. Lot of models have been proposed over the years by various researchers for carryin...