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integrating-information
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Application of Axiomatic Design in Appropriate Design Selection
, M.Sc. Thesis Sharif University of Technology ; Houshmand, Mahmoud (Supervisor)
Abstract
Under current competition situation of marketplace, customers’ needs force organizations to make effective decisions about their productions or services. Organizations have to present good products in suitable time and place than their competitors. Indeed customers’ needs effect on making decision about product, service, system or process designs. Problem definition is the most important step in design process. It is possible that, different designers make different designs to satisfy similar requirements because of subjective nature of problem definition. It may results countless design solutions and the best design must be selected among them with considering many criteria. There are many...
Combination of multiple classifiers with fuzzy integral method for classifying the EEG signals in brain-computer interface
, Article ICBPE 2006 - 2006 International Conference on Biomedical and Pharmaceutical Engineering, Singapore, 11 December 2006 through 14 December 2006 ; 2006 , Pages 157-161 ; 8190426249 (ISBN); 9788190426244 (ISBN) ; Esmaeeli, M ; Shouraki, S. B ; Sharif University of Technology
2006
Abstract
In this paper we study the effectiveness of using multiple classifier combination for EEG signal classification aiming to obtain more accurate results than it possible from each of the constituent classifiers. The developed system employs two linear classifiers (SVM,LDA) fused at the abstract and measurement levels for integrating information to reach a collective decision. For making decision, the majority voting scheme has been used. While at the measurement level, two types of combination methods have been investigated: one used fixed combination rules that don't require prior training and a trainable combination method. For the second type, the fuzzy integral method was used. The...