A context-based multi-dimensional corporate analysis method

Shin Ito, Yasushi Kiyoki

研究成果: Chapter

抄録

This paper presents a context-based multi-dimensional corporate analysis method that evaluates companies based on user-specified contextual settings. The contextual settings are translated and decomposed into distinct spaces, finance, technology, and brand, each of which consists of a subspace containing multiple parameters. The contextual settings determine the relevance of each of such parameters in evaluating companies by assigning appropriate weight to the parameter. The important feature of this corporate analysis method is that it allows the user to analyze companies seamlessly only with the contextual settings without the knowledge of multi-dimensional decomposition.

本文言語English
ホスト出版物のタイトルInformation Modelling and Knowledge Bases XXIV
出版社IOS Press
ページ255-270
ページ数16
ISBN(印刷版)9781614991762
DOI
出版ステータスPublished - 2013

出版物シリーズ

名前Frontiers in Artificial Intelligence and Applications
251
ISSN(印刷版)0922-6389

ASJC Scopus subject areas

  • 人工知能

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