Decision Graphs for Information Process,

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Abstract:

Identifying and classifying information are important tasks in many areas such as data processing in census studies, process controls in information processing systems, the recognition of patterns, and so on. Here the author develops a procedure to design a reasonable testing process to identify information from a given decision table. There are several papers dealing with decision trees and decision tables. In the paper, the author attacks the problem by the use of linear graph theory so that more general cases of identifying information can be covered. Modified author abstract

Author(s):
Mayeda, Wataru
Author Organization(s):
ILLINOIS UNIV URBANA COORDINATED SCIENCE LAB
Pagination:
0033

Security Markings

DOCUMENT & CONTEXTUAL SUMMARY

Distribution:
Approved For Public Release

RECORD

Collection: TR
Identifying Numbers
Report Number(s):
R-600, UILU-ENG-73-2202
Contract/Grant Number(s):
DAAB07-72-C-0259
 Subject Terms
Joint Capability Areas:
JCA_5_Command and Control; JCA_5.4_Decide
Communities of Interest:
Materials and Manufacturing Processes
Descriptor(s):
(*DECISION THEORY, GRAPHICS), INFORMATION THEORY, DATA PROCESSING, SET THEORY, MATHEMATICAL MODELS, PATTERN RECOGNITION
Field(s)/Group(s):
Operations Research
Keyword(s):
*NETWORK FLOWS, *GRAPHS, INFORMATION PROCESSING, SWITCHING THEORY
Report Date:
1973 Mar 01