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Please use this identifier to cite or link to this item: https://elib.bsu.by/handle/123456789/9301
Title: Correction of the Knowledge Database of Fuzzy Decision Support System with Variable Structure of the Input Data
Authors: Kondratenko, Y.
Sidenko, le.
Issue Date: 2012
Publisher: Минск: БГУ
Citation: Modeling and Simulation : MS'2012 : Proc. of the Intern. Conf., 2—4 May 2012, Minsk, Belarus. - Minsk: Publ. Center of BSU, 2012. - 178 p. - ISBN 978-985-553-010-8.
Abstract: The review of the existing approaches and algorithms for designing DSS based on fuzzy logic in case of changing the structure of the vector of the input data is considered in the paper. There was presented the own approach, which lies in correction (editing) the rules of fuzzy knowledge bases at different number of input coordinates of the system. Simulation results confirm the effectiveness and appropriateness of use of the algorithms of editing the rules of fuzzy knowledge bases in the process of DSS designing for management decision- making, particularly in solving problems of transport logistics.
URI: http://elib.bsu.by/handle/123456789/9301
Appears in Collections:2012. Моделирование процессов систем: Труды Международной конференции

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