Results 31 to 40 of about 606,237 (294)
Introduction to fuzzy systems [PDF]
Proceedings Electronic Technology Directions to the Year 2000 ETD-95, 1995 We introduce the notion of fuzzy sets as a tool for modeling sets with ill-defined or flexible boundaries. Fuzzy sets naturally appear when describing the meaning of natural language words pertaining to quantitative scales, or when modelling the notion of typicality.
Lakhmi C. Jain, Charles L. Karr
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FUZZY MODELING ON WHEAT PRODUCTIVITY UNDER DIFFERENT DOSES OF SLUDGE AND SEWAGE EFFLUENT [PDF]
Engenharia Agrícola, 2017 : This study aimed to evaluate the effects of fertilization with composted sewage sludge and irrigation with drinking water (DW) and fertigation with wastewater (WW) in wheat crop using fuzzy rule-based system.
Fernando F. Putti +4 more
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Laparoscopy Pneumoperitoneum Fuzzy Modeling [PDF]
, 2011 : Gas volume to intra-peritoneal pressure fuzzy modeling for evaluating pneumoperitoneum in videolaparoscopic surgery is proposed in this paper. The proposed approach innovates in using fuzzy logic and fuzzy set theory for evaluating the accuracy of the ...
Joao L. M. C. Azevedo +2 more
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Sensors, 2016 Fitness classification is a technique to assess the quality of banknotes in order to determine whether they are usable. Banknote classification techniques are useful in preventing problems that arise from the circulation of substandard banknotes (such as
Seung Yong Kwon +4 more
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Fuzzy Rule-based System for Pattern Recognition and Automated Classification [PDF]
Computer Science Journal of Moldova, 2017 The sorting method contains a fuzzy system that classifies waste into three classes: dangerous (toxic, flammable, harmful to the environment), recyclable and undetermined. To increase the decision weight since some waste is perilous (eg.
Mariana Rusu, Marius-Dan Zbancioc
doaj
Fuzzy Inference and Manifold Regularization Combined Feature Transfer Learning
Jisuanji kexue yu tansuo, 2020 Transfer learning leverages the rich data in the source domain to provide support for building accurate models in the target domain. Feature transfer learning is a kind of widely studied technology in transfer learning, but the existing feature transfer ...
SONG Yixuan, DENG Zhaohong, QIN Bin
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A layered fuzzy logic controller for nonholonomic car-like robot [PDF]
, 2006 A system for real time navigation of a nonholonomic car-like robot in a dynamic environment consists of two layers is described: a Sugeno-type fuzzy motion planner; and a modified proportional navigation based fuzzy controller.
El-Khatib, M.M., Hamilton, D.J.
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Robust fuzzy PSS design using ABC [PDF]
, 2011 This paper presents an Artificial Bee Colony (ABC) algorithm to tune optimal rule-base of a Fuzzy Power System Stabilizer (FPSS) which leads to damp low frequency oscillation following disturbances in power systems. Thus, extraction of an appropriate set
Abedinia, Oveis +2 more
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International Journal of Fuzzy Logic and Intelligent Systems, 2014 Neural fuzzy system (NFS) is basically a fuzzy system that has been equipped with learning capability adapted from the learning idea used in neural networks. Due to their outstanding system modeling capability, NFS have been widely employed in various applications.
Shun-Feng Su, Jen-Wei Yeh
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A New Centralized Clustering Algorithm for Wireless Sensor Networks
Sensors, 2019 Clustering is presently one of the main routing techniques employed in randomly deployed wireless sensor networks. This paper describes a novel centralized unequal clustering method for wireless sensor networks.
Juan-Carlos Cuevas-Martinez +4 more
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