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Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/138

Title: Systemological Knowledge-based Technology for Solving Complete Ill-structured Problems
Authors: Elchaninov, Dmitriy
Bondarenko, Mikhail
Solovyova, Kateryna
Matorin, Sergey
Matorin, Vasy
Keywords: systemology
conceptual classification model of knowledge
natural classification
Issue Date: 2007
Publisher: Institute of Information Theories and Applications FOI ITHEA
Abstract: Original method and technology of systemological «Unit-Function-Object» analysis for solving complete ill-structured problems is proposed. The given visual grapho-analytical UFO technology for the fist time combines capabilities and advantages of the system and object approaches and can be used for business reengineering and for information systems design. UFO- technology procedures are formalized by pattern-theory methods and developed by embedding systemological conceptual classification models into the system-object analysis and software tools. Technology is based on natural classification and helps to investigate deep semantic regularities of subject domain and to take proper account of system-classes essential properties the most objectively. Systemological knowledge models are based on method which for the first time synthesizes system and classification analysis. It allows creating CASE-toolkit of a new generation for organizational modelling for companies’ sustainable development and competitive advantages providing.
URI: http://hdl.handle.net/10525/138
ISSN: 1313-048X
Appears in Collections:Volume 1 Number 4

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