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Data · dataset · 2003

The Application of Genetic Algorithms to Selection of Information Professionals

Listed in Harvard Dataverse

Acute competition in the modern business environment has led more and more companies to employ computer technology in the processing of information.

Description

Industrial computerization has led to a growing demand for information professionals in recent years. Therefore, the problem of how to select good information professionals has become an increasingly important issue.

This study addresses the problem through the employment of Genetic Algorithms (GA). These are used to generate the weightings of various selection criteria for information professionals, and thereby reduce the subjectivity of the AHP method. In addition to the traditional \"yes or no\" decisions for the selection of information professionals, our approach uses two cut-off values for each chromosome, which represent the weighting values, in order to make the selection decisions more flexible.

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The results of using our approach are compared with the AHP method, and some practical implications are discussed.

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Provenance · 1 source records, 5 field assertions
SourceKeyLast seenRaw
Harvard Dataversedoi:10.6141/TW-SRDA-E89055-112 d agoJSON v1
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created_datesource · Harvard Dataverseconnector:dataverse@1.0.0
descriptionsource · Harvard Dataverseconnector:dataverse@1.0.0/description
publication_datesource · Harvard Dataverseconnector:dataverse@1.0.0
titlesource · Harvard Dataverseconnector:dataverse@1.0.0/name
updated_datesource · Harvard Dataverseconnector:dataverse@1.0.0