Document classification by fuzzy attribute evaluation / Aivars Celmiņš.

Format:

Book

Government document

Author/Creator:

Celminš, Aivars K. R.

Contributor:

U.S. Army Research Laboratory

Series:

ARL-TR (Aberdeen Proving Ground, Md.) ; 380.

ARL-TR ; 380

Language:

English

Subjects (All):

Automatic classification.

Fuzzy sets.

Physical Description:

1 online resource (iv, 21 pages) : illustrations

Place of Publication:

Aberdeen Proving Ground, MD : Army Research Laboratory, [2000]

Summary:

A technique for classifying objects is proposed that combines classification estimates based on the properties of object attributes. The technique was developed as an aid to classifying captured foreign documents on the battlefield. In this approach, the input information consists of linguistic assessments of the document's classification; these assessments are based on document attributes such as document age, format, and place of discovery. The assessments are modeled as fuzzy sets and combined with the help of a decision function into an output fuzzy set that represents the overall assessment of the document. For a final linguistic classification, the output of the decision function is compared with target classes. The procedure achieves good performance if the decision function is trained on representative sets of classified objects. Although the classification procedure was developed for classification of captured documents, it might be also applied to target recognition from approximate sensor inputs, triage procedures and diagnostics in medical praxis, risk assessments, and similar problems where classification requires the combination of uncertain judgments.

Notes:

Title from title screen (viewed on October 12, 2010).

"December 2000."

Includes bibliographical references (page 17).

OCLC:

227940962

Access Restriction:

APPROVED FOR PUBLIC RELEASE.