in this paper presents a maximum power point tracking (mppt) technique based on the hill climbing search (hcs) method and fuzzy logic system for wind turbines (wts) including of permanent magnet synchronous generator (pmsg) as generator. in the conventional hcs method the step size is constant, therefor both steady-state response and dynamic response of method cannot provide at the same time an...

fuzzy order congruences play an important role in studying the categoricalproperties of fuzzy posets. in this paper, the correspondence between the fuzzyorder congruences and the fuzzy order-preserving maps is discussed. we focus onthe characterization of fuzzy order congruences on the fuzzy poset in terms ofthe fuzzy preorders containing the fuzzy partial order. at last, fuzzy completecongruen...

In this paper presents a Maximum Power Point Tracking (MPPT) technique based on the Hill Climbing Search (HCS) method and fuzzy logic system for Wind Turbines (WTs) including of Permanent Magnet Synchronous Generator (PMSG) as generator. In the conventional HCS method the step size is constant, therefor both steady-state response and dynamic response of method cannot provide at the same time an...

Fuzzy Cognitive Maps as a Technique for Conducting Structured Systems Analysis in the Area of Security Sciences The article aims to present and introduce main assumptions procedures creating fuzzy cognitive maps (FCM) field security studies. FCM are tool conducting systematic analysis phenomena with complex structure consisting many interrelated elements. text was divided into three parts devot...

Fuzzy Conceptual Maps have become an important means for describing a particular domain showing the concepts (variables) and the relationship between them. They have been used for several tasks like simulation processes, forecasting or decision support. In general, the task of creating Fuzzy Conceptual Maps is made by experts in a certain domain but it is very promising the automatic creation o...

The information abstracted by humans and quite complex processes, are usually imprecise or approximate. The adopted modelling strategy is usually imprecise in nature, with no or partial knowledge of the problem, and generally expressed in linguistic terms. Thus, the use of Fuzzy Logic can help solving the ambiguities and vagueness usually faced in this kind of problems. Soft computing technique...

Fuzzy Cognitive Maps (FCMs) have been proposed to represent causal reasoning by using numeric processing. They graphically represent uncertain causal reasoning. In the resonant states, there emerges a limit cycle or a hidden pattern, which is a FCM inference. However, there are some shortcomings concerned with knowledge representation in the conventional FCMs. In this paper, we propose Extended...

This paper proposes a new methodology for designing Fuzzy Cognitive Maps using crisp decision trees that have been fuzzified. Fuzzy cognitive map is a knowledge-based technique that works as an artificial cognitive network inheriting the main aspects of cognitive maps and artificial neural networks. Decision trees, in the other hand, are well known intelligent techniques that extract rules from...