%0 Conference Proceedings
%T Joining Concept’s Based Fuzzy Cognitive Map Model with Moving Window Technique for Time Series Modeling
%+ Warsaw University of Technology [Warsaw]
%+ Polska Akademia Nauk = Polish Academy of Sciences = Académie polonaise des sciences (PAN)
%+ University of Alberta
%A Homenda, Wladyslaw
%A Jastrzebska, Agnieszka
%A Pedrycz, Witold
%Z Part 6: Modelling and Optimization
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 13th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM)
%C Ho Chi Minh City, Vietnam
%Y Khalid Saeed
%Y Václav Snášel
%I Springer
%3 Computer Information Systems and Industrial Management
%V LNCS-8838
%P 397-408
%8 2014-11-05
%D 2014
%R 10.1007/978-3-662-45237-0_37
%Z Computer Science [cs]Conference papers
%X In the article we present a technique for time series modeling that joins concepts based Fuzzy Cognitive Map design with moving window approach. Proposed method first extracts concepts that generalize the underlying time series. Next, we form a map that consists of several layers representing consecutive time points. In each layer we place concepts obtained in the previous step. Fuzzified time series is passed to the map according to the moving window scheme. We investigate two most important aspects of this procedure: division into concepts and window size and their influence on model’s accuracy. Firstly, we show that extraction of concepts plays a big role. Fitted models have low errors. Unfortunately, it is not always possible to extract appropriate number of concepts. The choice of the number of concepts is a compromise between model size and accuracy. Secondly, we show that increasing window size improves modeling accuracy.
%G English
%Z TC 8
%2 https://inria.hal.science/hal-01405612/document
%2 https://inria.hal.science/hal-01405612/file/978-3-662-45237-0_37_Chapter.pdf
%L hal-01405612
%U https://inria.hal.science/hal-01405612
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC8
%~ IFIP-LNCS-8838
%~ IFIP-CISIM