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Contrasting grey system theory to probability and fuzzy
By contrasting grey system theory with probability theory, statistics, and fuzzy systems, we know the features that make the grey system different are:* reality law* grey hazy set (foundation)* small sample (data)* nonrequirement for distribution* Disregard of a priori-experience
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Published in: | SIGICE bulletin 1995-01, Vol.20 (3), p.3-9 |
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Language: | English |
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container_issue | 3 |
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container_title | SIGICE bulletin |
container_volume | 20 |
creator | Ng, David K. W. Deng, Julong |
description | By contrasting grey system theory with probability theory, statistics, and fuzzy systems, we know the features that make the grey system different are:* reality law* grey hazy set (foundation)* small sample (data)* nonrequirement for distribution* Disregard of a priori-experience |
doi_str_mv | 10.1145/202081.202082 |
format | article |
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ispartof | SIGICE bulletin, 1995-01, Vol.20 (3), p.3-9 |
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language | eng |
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source | Association for Computing Machinery:Jisc Collections:ACM OPEN Journals 2023-2025 (reading list) |
title | Contrasting grey system theory to probability and fuzzy |
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