Results are presented addressing chaotic system and market-level one-day-ahead load forecasting.Castro León, IvánTaylor, Philip CI. C. Leon, P. C. Taylor, "Memetic Type-2 Fuzzy System Learning for Load Forecasting", 9th Conference of the European Society for Fuzzy Logic and Technology (...
Type-2 Fuzzy Logic Systems:二型模糊逻辑系统 热度: A novel maximum power fuzzy logic controller for photovoltaic solar energy systems 热度: development of a self-tuning fuzzy logic controller for intelligent control of elevator systems 热度:
You can create a type-2 fuzzy inference system by converting an existing type-1 system, such as one created using thegenfisfunction. To do so, use theconvertToType2function. Once you create a type-2 fuzzy inference system, you can: ...
Because of the ingenious design of the general type-2 fuzzy sets on operations, the computation of general type-2 fuzzy systems has been greatly reduced. In order to verify the validity and superiority of the proposed methods, simulation results with a type-1 fuzzy system, an interval type-2...
The broad learning system (BLS) has been identified as an important research topic in machine learning. However, the typical BLS suffers from poor robustness for uncertainties because of its characteristic of the deterministic representation. To overcome this problem, a type-2 fuzzy BLS (FBLS) is...
This chapter explores many aspects of the general type-2 fuzzy system that was introduced in Chap. 1 . As was done for interval type-2 fuzzy systems, it provides a very comprehensive and unified description of th
GeneralizedType-2FuzzySystem FuzzyController Mobilerobot Control abstract TheaimofthispaperistoshowthataGeneralizedType-2FuzzyControlSystemcanoutperformType-1 andIntervalType-2FuzzyControlSystemswhenexternalperturbationsarepresent.AGeneralizedType- 2FuzzySystemcanhandlebetteruncertaintybecauseofthenatureofitsmembershipfu...
In the past decades, Type 2 Fuzzy Logic System (T2 FLS) has been widely used in engineering applications. To outperform the Type 1 FLSs, T2 can be applied with dynamic uncertainties. In the present work, the Genetic Algorithm (GA) is used to design the least cost Water Distribution ...
We introduce a type-2 fuzzy logic system (FLS), which can handle rule uncertainties. The implementation of this type-2 FLS involves the operations of fuzzification, inference, and output processing. We focus on "output processing," which consists of type reduction and defuzzification. Type-reducti...
,the antecedents and consequents of rules is replaced by Type-2 fuzzy sets.Then,a direct adaptive fuzzy controller based on Type-2 fuzzy set is established.Furthermore,the stability and convergence of the controller are discussed.Finally,the simulation results indicate superiority of the system....