Planning resources for a supply chain is a major factor determining its success or failure. In this paper we introduce an Interval Type-2 Fuzzy Logic model of a distribution network. It is believed that the additional degree of uncertainty provided by Interval Type-2 Fuzzy Logic will allow for better representation of the uncertainty and vagueness present in resource planning models. First, the...

Design of fuzzy logic controllers encounters difficulties in the selection of optimized membership functions and fuzzy rule base, which is traditionally achieved by a tedious trial-and-error process. This paper develops genetic algorithms for automatic design of high performance fuzzy logic controllers using sophisticated membership functions that intrinsically reflect the nonlinearities encoun...

Two-level inverter control with type-1 and type-2 fuzzy logic-based space vector pulse-width modulation (PWM) method for induction motor drive (IMD) is presented in this paper. A new sampling time independent strategy based methods are used generating three phase duty ratios which directly obtained without mathematical equations. The conventional of (SVM) produces the dependent. However, PWM al...

This article focuses on the dynamic parameter adaptation in the harmony search algorithm using Type-1 and interval Type-2 fuzzy logic. In particular, this work focuses on the adaptation of the parameters of the original harmony search algorithm. At present there are several types of algorithms that can solve complex real-world problems with uncertainty management. In this case the proposed meth...

Fuzzy Logic Controllers Lee90] (FLCs) are being widely and successfully applied in diierent areas. Fuzzy Logic Controllers can be considered as knowledge-based systems, incorporating human knowledge into their Knowledge Base through Fuzzy Rules and Fuzzy Membership Functions (among other information elements). The deenition of these Fuzzy Rules and Fuzzy Membership Functions is actually aaected...

Variable speed drives are nowadays growing and varying very fast. Drives expanse depends on progress in different part of science like power system, electronic, control methods and so on. Because the fuzzy logic techniques can be used to control any type of system. The mathematical background and initial assumptions on which the conventional method relies on. On the other hand the fuzzy control...

A new control strategy for a single tank liquid level control system is designed. Generally PID controllers are used to design the level of the liquid in the tank. But PID is a feedback type controller, so it doesn’t produce satisfactory responses. As the complexity of problems in the process increases, Fuzzy Logic Controller is used. It produces satisfactory response, but the drawback is that ...