A context-based multi-dimensional corporate analysis method

Shin Ito; Yasushi Kiyoki

doi:10.3233/978-1-61499-177-9-255

A context-based multi-dimensional corporate analysis method

Shin Ito, Yasushi Kiyoki

Faculty of Environment and Information Studies

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

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.

Original language	English
Title of host publication	Information Modelling and Knowledge Bases XXIV
Publisher	IOS Press
Pages	255-270
Number of pages	16
ISBN (Print)	9781614991762
DOIs	https://doi.org/10.3233/978-1-61499-177-9-255
Publication status	Published - 2013

Publication series

Name	Frontiers in Artificial Intelligence and Applications
Volume	251
ISSN (Print)	0922-6389

Keywords

Context-based
characteristic parameter
corporate analysis
inner products
mathematical model of meaning
relevance weight

ASJC Scopus subject areas

Artificial Intelligence

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10.3233/978-1-61499-177-9-255

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KW - corporate analysis

KW - inner products

KW - mathematical model of meaning

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A context-based multi-dimensional corporate analysis method

Abstract

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Keywords

ASJC Scopus subject areas

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