Multicriteria ordinal classification to improve strategic planning in the financial sector of the company

Globalization has changed the way companies do business in the world, always with the objective of having a greater presence in more countries through company purchases, strategic alliances, company acquisitions, investment projects. Companies also need to support decision-making to generate a strat...

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Bibliographic Details
Published inInternational Journal of Combinatorial Optimization Problems and Informatics Vol. 13; no. 2; p. 47
Main Authors Solares, Efraín, de-León-Gómez, Victor, Fernández, Eduardo, Contreras-Medina, Emmanuel, Lopez, Orlando
Format Journal Article
LanguageEnglish
Published Jiutepec International Journal of Combinatorial Optimization Problems & Informatics 01.05.2022
Subjects
Adaptation
Classification
Corporate profits
Data envelopment analysis
Decision making
Earnings
Financial services
Globalization
Informatics
Investment policy
Investments
Multiple criterion
Neural networks
Optimization
Pattern recognition
Portfolio management
Stocks
Strategic planning
Support vector machines
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Summary:Globalization has changed the way companies do business in the world, always with the objective of having a greater presence in more countries through company purchases, strategic alliances, company acquisitions, investment projects. Companies also need to support decision-making to generate a strategy that considers the demands of consumers, the strategies of companies to consolidate their presence. The purpose of this study is to propose a system for decision making in presence of multiple criteria, to facilitate the generation of efficient strategic planning in the economic area of the company. The proposed approach is based on historical recognition of patterns and prediction of scenarios for multi-criteria ordinal classification using a recent classifier method.
ISSN:2007-1558