Topic
Fuzzy associative matrix
About: Fuzzy associative matrix is a research topic. Over the lifetime, 8027 publications have been published within this topic receiving 194790 citations.
Papers published on a yearly basis
Papers
More filters
TL;DR: A fuzzy logic controller has been realized using mixed analog-digital CMOS very large scale integration (VLSI) circuits for application in cases where the input and output variables are in analog form, employing a new architecture where time sweeping of variables allows continuous-amplitude evaluation of fuzzy inferences and defuzzification during each evaluation cycle.
Abstract: A fuzzy logic controller has been realized using mixed analog-digital CMOS very large scale integration (VLSI) circuits for application in cases where the input and output variables are in analog form. It employs a new architecture where time sweeping of variables allows continuous-amplitude evaluation of fuzzy inferences and defuzzification during each evaluation cycle without having to discretize input and output variables. Direct processing of the analog input signal is used to obtain the corresponding crisp value; the digital portion is used only for programmability. No A/D and D/A converters are needed. The controller can handle three inputs, one output, and 25 programmable fuzzy rules. The test IC chips were fabricated using 0.7-/spl mu/m CMOS technology. A control problem of stabilizing a ping-pong ball in a tube with a controllable air flow has been successfully demonstrated.
58 citations
TL;DR: This paper introduces a metric on the quotient space of fuzzy numbers, and then deals with fuzzy mappings of a real variable whose values are equivalence classes of fuzzyNumbers.
58 citations
TL;DR: Fuzzy Techniques in Manufacturing Systems and Technology Management, and Neural Fuzzy Approaches to Modeling of Musculoskeletal Responses in Manual Lifting Tasks.
58 citations
TL;DR: A complex number representation of the @a-level sets of the fuzzy system is used and theorems that provide the solutions under such representation are proved, which is applicable to practical computations and also has some implications for theory.
58 citations
TL;DR: A fuzzy associative memory system called FAMOUS (Fuzzy Associative Memory Organizing Units System) simulates the knowledge representation and inference process by using fuzzy notation and by association in neural networks.
Abstract: To achieve self-organizing control based on fuzzy rules, we propose a fuzzy associative memory system called FAMOUS (Fuzzy Associative Memory Organizing Units System). FAMOUS simulates the knowledge representation and inference process by using fuzzy notation and by association in neural networks. FAMOUS's learning algorithm uses training steps to generate operation skills by modifying the expert knowledge that is initially built-in. A set of fuzzy if-then rules is used for controlling variable parameter processes. The control knowledge is represented as pairs consisting of a ‘condition’ in the if-part and an ‘operation (controller)’ in the then-part. The controllers are designed for optimization and stabilization in specific conditions. The fuzzy controller described in FAMOUS recalls well-trained controllers associated with the input condition and makes the final control output by synthesizing the intermediate outputs of their controllers. FAMOUS can highly refine knowledge by using neural network learn...
57 citations