A context-based multi-dimensional corporate analysis method

被引：0

作者：

Ito, Shin ^{[1
]}

Kiyoki, Yasushi ^{[2
]}

机构：

[1] Graduate School of Media and Governance, Keio University, 5322 Endoh, 252-8520 Fujisawa, Kanagawa, Japan

[2] Graduate School of Media and Governance, Keio University, 5322 Endoh, Fujisawa, Kanagawa, 252-8520, Japan

来源：

Frontiers in Artificial Intelligence and Applications | 2013年 / 251卷

关键词：

D O I：

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

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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. © 2013 The authors and IOS Press. All rights reserved.

引用

页码：255 / 270

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