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, DmitriyBondarenko, MikhailSolovyova, KaterynaMatorin, SergeyMatorin, Vasy Keywords: systemologyconceptual classification model of knowledgenatural 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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