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.

Keywords: systemology, conceptual classification model of knowledge, natural classification.

ACM Classification Keywords: I.2 Artificial Intelligence – I.2.6 Learning: Knowledge Acquisition

Link:

SYSTEMOLOGICAL KNOWLEDGE-BASED TECHNOLOGY FOR SOLVING COMPLETE ILL-STRUCTURED PROBLEMS

Dmitriy Elchaninov, Mikhail Bondarenko, Kateryna Solovyova, Sergey Matorin, Vasy Matorin

http://www.foibg.com/ijitk/ijitk-vol01/ijitk01-4-p03.pdf