How to Fully Represent Expert Information about Imprecise Properties in a Computer System - Random Sets, Fuzzy Sets, and Beyond: An Overview.
How to Fully Represent Expert Information about Imprecise Properties in a Computer System - Random Sets, Fuzzy Sets, and Beyond: An Overview.
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DOI：
10.1080/03081079.2014.896354
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发表时间：
2014-01-01
影响因子：
2
通讯作者：
Kreinovich V
中科院分区：
文献类型：
--
作者：
Nguyen HT;Kreinovich V
为了帮助计算机做出更好的决策，我们需要用计算机可以理解的术语来描述我们所有的知识。这对于用数值来描述知识来说很容易：我们只需将相应的数字存储在计算机中。这也很容易了解每个对象的精确（定义明确的）属性是真还是假：我们只需将相应的“真”和“假”值存储在计算机中。挑战在于如何存储关于不精确属性的信息。在本文中，我们概述了不同的方法来充分存储专家信息的不精确属性。我们表明，在最简单的情况下，当不精确的唯一来源是不同的专家之间的分歧，一个自然的方式来存储所有的专家信息是使用随机集，我们还展示了如何模糊集自然出现在这样的随机集表示。然后，我们将展示如何随机集表示可以扩展到一般（“模糊”）的情况下，除了分歧，专家也不确定是否有些对象满足某些属性或不。
To help computers make better decisions, it is desirable to describe all our knowledge in computer-understandable terms. This is easy for knowledge described in terms on numerical values: we simply store the corresponding numbers in the computer. This is also easy for knowledge about precise (well-defined) properties which are either true or false for each object: we simply store the corresponding “true” and “false” values in the computer. The challenge is how to store information about imprecise properties. In this paper, we overview different ways to fully store the expert information about imprecise properties. We show that in the simplest case, when the only source of imprecision is disagreement between different experts, a natural way to store all the expert information is to use random sets; we also show how fuzzy sets naturally appear in such random-set representation. We then show how the random-set representation can be extended to the general (“fuzzy”) case when, in addition to disagreements, experts are also unsure whether some objects satisfy certain properties or not.
影响因子：
14.4
作者：
NILSSON, NJ
通讯作者：
NILSSON, NJ
DOI：
10.1016/j.cam.2005.08.030
发表时间：
2007-02-15
影响因子：
2.4
作者：
Ceberio, Martine;Kreinovich, Vladik;Baral, Chitta
通讯作者：
Baral, Chitta
影响因子：
--
作者：
DEMPSTER, AP
通讯作者：
DEMPSTER, AP