Hardware Architecture for an Interval Type-2 Fuzzy Processor
نویسندگان
چکیده
This paper presents hardware architecture for an Interval Type-2 fuzzy processor. The architecture is based on the use of two Type-1 Fuzzy Logic Systems (T1 FLS) and it suggests that the existing techniques for implementing T1 FLS can be employed for realizing Type-2 Fuzzy Logic Systems (T2 FLS). The paper also presents a survey of the various realizations for T1 FLS and summarizes them giving their benefits and limitations.
منابع مشابه
Dsp-based Fast Fuzzy Logic Controllers
This paper presents an approach to implementing a fast FLC on a DSP in order to achieve high speed operation with a small sampling interval. This approach uses some specific techniques for hardware-software co-design, where hardware-specific properties of DSP architecture are utilized to reduce the number of computations required in software. The DSP approach is cost-effective and useful for pr...
متن کاملAn Embedded Interval Type-2 Neuro-Fuzzy Controller for Intelligent Navigation of Mobile Robot
This paper describes intelligent navigation using an embedded interval type-2 neuro–fuzzy controller. Weightless neural network (WNNs) strategy is used because fast learning, easy hardware implementation and well suited to microcontroller-based-real-time systems. The WNNs utilizes previous sensor data and analyzes the situation of the current environment and classifies geometric feature such as...
متن کاملStochastic fuzzy controller
Introduction: As we know, an implementation of fuzzy inference can be done on general purpose computer architectures (including digital signal processors and microcontrollers) or on a special fuzzy hardware [1]. Analogous and digital techniques are used. Fuzzy controllers working on stochastic logic represent a special kind of fuzzy hardware [2], [3]. The stochastic logic uses binary random sig...
متن کاملMultiple attribute group decision making with linguistic variables and complete unknown weight information
Interval type-2 fuzzy sets, each of which is characterized by the footprint of uncertainty, are a very useful means to depict the linguistic information in the process of decision making. In this article, we investigate the group decision making problems in which all the linguistic information provided by the decision makers is expressed as interval type-2 fuzzy decision matrices where each of ...
متن کاملAn integrated multi-criteria decision-making methodology based on type-2 fuzzy sets for selection among energy alternatives in Turkey
Energy is a critical factor to obtain a sustainable development for countries and governments. Selection of the most appropriate energy alternative is a completely critical and a complex decision making problem. In this paper, an integrated multi-criteria decision-making (MCDM) methodology based on type-2 fuzzy sets is proposed for selection among energy alternatives. Then a roadmap has been cr...
متن کامل