type-2 t-normsIn this study, an efficient fuzzy logic system (FLS) based on triangular type-2 fuzzy sets is designed. In detail, this paper provides a new method for computational complexity reduction in t-norm operations extended on triangular type-2 fuzzy sets. It is demonstrated that our...
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:
Type-2 Fuzzy Logic Systems Nilesh N. Karnik, Jerry M. Mendel, Fellow, IEEE, and Qilian Liang Abstract— 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 outp...
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 ...
The knowledge used to construct a fuzzy logic system (FLS) is often uncertain. The uncertainties may arise from the following sources: 1) the words that are used as the antecedents or consequents in rules may mean different things to different people, 2) the words that connect antecedents in...
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...
Type-2 fuzzy logic refers to a fuzzy logic system that has gained popularity in various applications, especially in pattern recognition and classification problems within the field of Computer Science. AI generated definition based on: Expert Systems with Applications, 2013 ...
Ex14: MIMO Type 1 TSK Fuzzy Logic System. Ex15: Using emphasize function for type 1 and interval type 2 fuzzy sets. Ex16: Example concerning fuzzy matrices. Ex17: Defining random rules and random sets for IT2F classifier with three inputs and one output (Based on the request of one of...
The Interval Type-2 Fuzzy Logic System Toolbox (IT2FLS), is an environment for interval type-2 fuzzy logic inference system development. Tools that cover the different phases of the fuzzy system design process, from the initial description phase, to the final implementation phase, constitute the...
Alimi, Type-2 Fuzzy Logic Control of Mobile Robots - Baklouti, M - 2012 () Citation Context ...pdate using a fuzzy logic system. The big difference between this work and ours consists essentially in applying multi-objective particle swarm optimization hydride with fuzzy ant colony optimization...