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The averaging of interval expert evaluations

The averaging of interval expert evaluations The features of the expert evaluation of intractable properties (parameters) in the form of interval values on number scales are analyzed. To find a consistent evaluation, two methods for averaging the evaluations in interval form are considered. The first is based on the simple (arithmetical mean) averaging of the interval boundaries and the second is concerned with weighted averaging. It is proposed that the “weighing” of the interval boundaries be implemented according to the interval width according to the following principle: the lower the width of the evaluation interval is, the more qualified the expert evaluation of the property under investigation is and the higher the weight of the boundaries of the corresponding interval under averaging is. When averaging two intervals, an increase in the qualification of a consistent expert evaluation during weighted averaging occurs. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Automatic Documentation and Mathematical Linguistics Springer Journals

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References (3)

Publisher
Springer Journals
Copyright
Copyright © 2012 by Allerton Press, Inc.
Subject
Computer Science; Information Storage and Retrieval
ISSN
0005-1055
eISSN
1934-8371
DOI
10.3103/S0005105512040061
Publisher site
See Article on Publisher Site

Abstract

The features of the expert evaluation of intractable properties (parameters) in the form of interval values on number scales are analyzed. To find a consistent evaluation, two methods for averaging the evaluations in interval form are considered. The first is based on the simple (arithmetical mean) averaging of the interval boundaries and the second is concerned with weighted averaging. It is proposed that the “weighing” of the interval boundaries be implemented according to the interval width according to the following principle: the lower the width of the evaluation interval is, the more qualified the expert evaluation of the property under investigation is and the higher the weight of the boundaries of the corresponding interval under averaging is. When averaging two intervals, an increase in the qualification of a consistent expert evaluation during weighted averaging occurs.

Journal

Automatic Documentation and Mathematical LinguisticsSpringer Journals

Published: Sep 27, 2012

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