Now showing items 1-10 of 124
Hardware implementation of type-2 programmable fuzzifier
The design of full programmable type-2 membership function circuit is presented in this paper. This circuit is used to implement the fuzzifier block of Type-2 Fuzzy Logic Controller chip. In this paper the type-2 fuzzy set ...
Traffic flow breakdown prediction using feature reduction through Rough-Neuro fuzzy Networks
The prediction of the traffic behavior could help to make decision about the routing process, as well as enables gains on effectiveness and productivity on the physical distribution. This need motivated the search for ...
Fuzzy sets in distributed traffic control
The task of controlling urban traffic requires flexibility, adaptability and handling uncertain information spread through the intersection network. The use of fuzzy sets concepts convey these characteristics to improve ...
Fuzzy environmental quality index
This paper presents the construction of a fuzzy environmental quality index for decision support in municipal environmental management. Five groups of indicators were selected in order to obtain an equation that best ...
Fuzzy distributed artificial intelligence systems
In this paper, we introduce a DAI approach called hereinafter Fuzzy Distributed Artificial Intelligence (FDAI). Through the use of fuzzy logic, we have been able to develop mechanisms that we feel may effectively improve ...
Border detection in digital images: An approach by fuzzy numbers
The purpose of this paper is to introduce a new approach for edge detection in gray shaded images. The proposed approach is based on the fuzzy number theory. The idea is to deal with the uncertainties concerning the gray ...
Case-based system: Indexing and retrieval with fuzzy hypercube
In some applications with case-based system, the attributes available for indexing are better described as linguistic variables instead of receiving numerical treatment. In these applications, the concept of fuzzy hypercube ...
Tuning of fuzzy inference systems through unconstrained optimization techniques
This paper presents a new methodology for the adjustment of fuzzy inference systems. A novel approach, which uses unconstrained optimization techniques, is developed in order to adjust the free parameters of the fuzzy ...
Incorporating fuzzy sets in intelligent distributed systems
(I E E E, 1996-01-01)
Fuzzy logic to predict thermal damages of ground parts
One of the critical problems in implementing an intelligent grinding process is the automatic detection of workpiece surface burn. This work uses fuzzy logic as a tool to classify and predict burn levels in the grinding ...