Solving Problems with Incomplete Information: A Grey Systems Approach

作者: Yi Lin , Sifeng Liu

DOI: 10.1016/S1076-5670(05)41002-2

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摘要: Publisher Summary This chapter discusses the fundamentals of grey systems theory by focusing on numbers, their arithmetic operations, and degree information content grayness. A number is such a whose exact value unknown, but range within which lies known. In study systems, it through various organizations raw data for researcher to sort out development or governing laws. path determining realistic laws from available data. called “generations sequence.” Even though objective phenomena can be complicated related chaotic, they always represent underlying The key uncover these make use them using appropriate methods. When collecting data, often because some unconquerable difficulties, there appear blanks in sequence collected. There also exist sequences that even complete abnormal values are included dramatic behavioral changes system under investigation.

参考文章(17)
Y. Lin, Differential and integral calculus on discrete time series data. Systems science. ,vol. 27, pp. 49- 58 ,(2001)
Peter Checkland, Systems Thinking, Systems Practice ,(1981)
George J. Klir, Facets of Systems Science ,(1991)
R. Hermann, Linear systems and the differential field of Heaviside operators Systems & Control Letters. ,vol. 1, pp. 211- 215 ,(1981) , 10.1016/S0167-6911(81)80038-2
Deng Ju-Long, Control problems of grey systems Systems & Control Letters. ,vol. 1, pp. 288- 294 ,(1982) , 10.1016/S0167-6911(82)80025-X
Ju-Long Deng, Chao-Shun Zhou, Sufficient conditions for the stability of a class of interconnected dynamic systems Systems & Control Letters. ,vol. 7, pp. 105- 108 ,(1986) , 10.1016/0167-6911(86)90015-0