A brief introduction to grey systems theoryстатья из журнала
Аннотация: Purpose The purpose of this paper is to introduce the elementary concepts and fundamental principles of grey systems and the main components of grey systems theory. Also to discuss the astonishing progress that grey systems theory has made in the world of learning and its wide‐ranging applications in the entire spectrum of science. Design/methodology/approach The characteristics of unascertained systems including incomplete information and inaccuracies in data are analysed and four uncertain theories: probability statistics, fuzzy mathematics, grey system and rough set theory are compared. The scientific principle of simplicity and how precise models suffer from inaccuracies are also shown. Findings The four uncertain theories, probability statistics, fuzzy mathematics, grey system and rough set theory are examined with different research objects, different basic sets, different methods and procedures, different data requirements, different emphasis, different objectives and different characteristics. Practical implications The scientific principle of simplicity and how precise models suffer from inaccuracies are shown. So, precise models are not necessarily an effective means to deal with complex matters, especially in the case that the available information is incomplete and the collected data inaccurate. Originality/value The elementary concepts and fundamental principles of grey systems and the main components of grey systems theory are introduced briefly. The reader is given a general picture of grey systems theory as a new method for studying problems where partial information is known, partial information is unknown; especially for uncertain systems with few data points and poor information.
Год издания: 2012
Авторы: Sifeng Liu, Jeffrey Yi‐Lin Forrest, Yingjie Yang
Издательство: Emerald Publishing Limited
Источник: Grey Systems Theory and Application
Ключевые слова: Grey System Theory Applications, Rough Sets and Fuzzy Logic, Multi-Criteria Decision Making
Открытый доступ: closed
Том: 2
Выпуск: 2
Страницы: 89–104