Запис Детальніше

Systemological knowledge-based technology for solving complete ill-structured problems

Електронного архіву Харківського національного університету радіоелектроніки (Open Access Repository of KHNURE)

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Поле Співвідношення
 
Title Systemological knowledge-based technology for solving complete ill-structured problems
 
Creator Соловйова, К. О.
Ельчанінов, Д. Б.
Бондаренко, М. Ф.
Маторін, С. І.
Маторін, В. С.
 
Subject systemology
conceptual classification model of knowledge
natural classification
 
Description 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.
 
Date 2018-06-14T17:49:17Z
2018-06-14T17:49:17Z
2007
 
Type Article
 
Identifier Elchaninov D. Systemological knowledge-based technology for solving complete ill-structured problems / D. Elchaninov, M. Bondarenko, К. Solovyova, S. Matorin, V. Matorin // International Journal "Information Technologies and Knowledge". – 2007. – Volume 1. – Рp. 317-324.
1313-0455
http://openarchive.nure.ua/handle/document/6184
 
Language en
 
Publisher ITHEA