attribute

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attribute

noun A term of art used in data modelling for a specific datum that can be collected for a class.

attribute

(ă-tri′būt″) [L., attribuere, to assign, ascribe]
1. To assign a cause.
2. To explain, e.g., a phenomenon or an event.
3. To predicate, e.g., a theory on a piece of evidence.
Medical Dictionary, © 2009 Farlex and Partners
References in periodicals archive ?
Therefore, the attribute value appurtenance degree function is:
2.5 Attribute Value Contradiction (Dissimilarity) Degree Function
Attribute Categories: Print (write) 5-10 names of the most popular measurable attributes on separate cards (Figure 3).
The Activity: Students identify the units of measurement used to measure or calculate the given attributes. Particularly, students work to find the prompt cards with measuring units to match the attribute categories.
SNAKE: ATTRIBUTE: Flexibility BORN: 2013, 2001, 1989, 1977, 1965 THIS YEAR: This year will be a peaceful one for you - as long as you're self-disciplined.
HORSE: ATTRIBUTE: Forging ahead BORN: 2014, 2002, 1990, 1978, 1966 THIS YEAR: This year you need to prioritise meeting the needs of your home and family - other aspirations can be put on hold.
In order to facilitate describing the MADM problem with interval decision matrix and experts' preference information on attributes in the formats of preference orderings, linguistic terms, interval numbers, and inequality constraints among the attribute weights, the following assumptions and notations are adopted:
let W = ([w.sub.1], [w.sub.2], ..., [w.sub.n]) denote the vector of n([greater than or equal to]2) attribute weights, where [w.sub.j] is the weight of attribute [c.sub.j], while [[summation].sup.n.sub.j=1] [w.sub.j] = 1 and [w.sub.j] [greater than or equal to] 0 holds for j = 1, ..., n.
The attribute clustering method for string type depends on two parts: (1) the model that congruously represents the values of attribute; (2) the similarity metric that catches the common pattern between the two sets of attribute values.
Genetic algorithm/neural-network approach to seismic attribute selection for well-log prediction.
In this paper the statistical characteristic about the value of evaluation index and attribute measure is taken into account with respect to the uncertainty of risk assessment in water inrush.
For every attribute group i, according to the broadcast information, the client will select two safe large prime numbers Pt and [Q.sub.i] according to the attribute values of the user.

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