Development of fuzzy expert system for customer and service advisor categorisation within contact centre environment. [PDF]
, 2004 In this paper, we describe the research and development of a fuzzy expert system methodology for categorising customer and customer service advisor (CSA) within customer contact centre (CCC) environment.
Tiwari, Ashutosh +2 more
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Evolving single- and multi-model fuzzy classifiers with FLEXFIS-class [PDF]
, 2007 [2] R. Santos, E. Dougherty, and J. A. Jaakko, “Creating fuzzy rules for image classification using biased data clustering,” in SPIE proceedings series (SPIE proc. ser.) International Society for Optical Engineering proceedings series.
Angelov, Plamen +5 more
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Zero overshoot and fast transient response using a fuzzy logic controller [PDF]
, 2012 In some industrial process control systems it is desirable not to allow an overshoot beyond the setpoint or a threshold, this could be a safety constraint or the requirement of the system.
Mehrdadi, Bruce, Saeed, Bakhtiar I.
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Methodology for adapting the parameters of a fuzzy system using the extended Kalman filter [PDF]
, 2011 When we try to analyze and to control a system whose model was obtained only based on input/output data, accuracy is essential in the model. On the other hand, to make the procedure practical, the modeling stage must be computationally efficient. In this
Jose Manuel Andujar Marquez +11 more
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Prioritised fuzzy constraint satisfaction problems: axioms, instantiation and validation [PDF]
, 2003 This paper identifies a generic axiom framework for prioritised fuzzy constraint satisfaction problems (PFCSPs), and proposes methods to instantiate it (i.e., to construct specific schemes which obey the generic axiom framework).
Luo, X. +14 more
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Fault diagnosis of induction motor based on decision trees and adaptive neuro-fuzzy inference [PDF]
, 2009 This paper presents a fault diagnosis method based on adaptive neuro-fuzzy inference system (ANFIS) in combination with decision trees. Classification and regression tree (CART) which is one of the decision tree methods is used as a feature selection ...
Yang, Bo-Suk +5 more
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Comparing Fuzzy Logic Mamdani and Naïve Bayes for Dental Disease Detection
Journal of Information Systems Engineering and Business Intelligence, 2022 Background: Dental disease detection is essential for the diagnosis of dental diseases. Objective: This research compares the Mamdani fuzzy logic and Naïve Bayes in detecting dental diseases.
Linda Perdana Wanti, Oman Somantri
doaj +1 more source
Using nonstationary fuzzy sets to improve the tractability of fuzzy association rules [PDF]
, 2013 Modern organisations now collect very large volumes of data about customers, suppliers and other factors which may impact upon their business. There is a clear need to be able to mine this data and present it to decision makers in a clear and coherent ...
Matthews, Stephen G. +3 more
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Aplikasi Pengambilan Keputusan dengan Metode Tsukamoto pada Penentuan Tingkat Kepuasan pelanggan
Cauchy: Jurnal Matematika Murni dan Aplikasi, 2015 Tsukamoto method is one method of fuzzy inference system on fuzzy logic for decision making. Steps of the decision making in this method, namely fuzzyfication (process changing the input into kabur), the establishment of fuzzy rules, fuzzy logic analysis,
Venny Riana Riana Agustin +1 more
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Intelligent control method of end effector of food sorting robot based on improved inversion control
Shipin yu jixie, 2023 Objective: Solve the problems of poor positioning accuracy and low efficiency of end effectors in the sorting process of parallel food sorting robots. Methods: An intelligent control of the end-effector of a parallel food sorting robot combining fuzzy ...
WEI Shu-cheng, MO Guo-zhi
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