Handbook on decision making

by Alor-Hernandez, Giner García-Alcaraz, Jorge Luis Sánchez-Ramírez, Cuauhtémoc Zapata-Cortes, Julian Andres

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Title Statements

Full title :Handbook on decision making. / edited by Julian Andres Zapata-Cortes, Cuauhtémoc Sánchez-Ramírez, Giner Alor-Hernández, Jorge Luis García-Alcaraz.

Summary

This book presents different techniques and methodologies used to improve the intelligent decision-making process and increase the likelihood of success in companies of different sectors such as Financial Services, Education, Supply Chain, Energy Systems, Health Services, and others. The book contains and consolidates innovative and high-quality research contributions regarding the implementation of techniques and methodologies applied in different sectors. The scope is to disseminate current trends knowledge in the implementation of artificial intelligence techniques and methodologies in different fields such as: Logistics, Software Development, Big Data, Internet of Things, Simulation, among others. The book contents are useful for Ph.D. researchers, Ph.D. students, master and undergraduate students of different areas such as Industrial Engineering, Computer Science, Information Systems, Data Analytics, and others.

Edition Statements

Publication Date:2023

Publication Statements

Publisher(s):Springer
Place of Publication:Cham
Language:eng
Publication Date:2023

The Physical Object

Description:1 online resource (1 volume) : : illustrations (black and white, and color).

Edition Identifiers

ISBN:9783031082467, 303108246X
DOI:10.1007/978-3-031-08246-7
oclc:on1347270821
LC Classification:HD3023
Dewey Decimal:658.403028563

Intro -- Preface -- Acknowledgements -- Contents -- Contributors -- Part I Methods and Techniques -- 1 A Vertical Fragmentation Method for Multimedia Databases Considering Content-Based Queries -- 1.1 Introduction -- 1.2 Background -- 1.3 State of the Art -- 1.4 Design of CBRVF -- 1.4.1 CBRVF -- 1.4.2 Web Application Design -- 1.5 Results and Discussion -- 1.6 Conclusion and Future Work -- References -- 2 An Approach Based on Process Mining Techniques to Support Software Development -- 2.1 Introduction -- 2.2 Background -- 2.3 Related Work -- 2.4 Framework

2.4.1 Phase 1: Event Log Management -- 2.4.2 Phase 2: Process Model Discovery -- 2.4.3 Phase 3: Statistics -- 2.5 Results -- 2.5.1 Case of a Purchase Order Process -- 2.5.2 Case of an Air Quality Monitoring System Process -- 2.6 Conclusions -- References -- 3 Analysis of Canonical Heuristic Methods for the Optimization of an Investment Portfolio -- 3.1 Introduction -- 3.2 Evolutionary Algorithms -- 3.3 Investment Portfolio -- 3.4 Theoretical Scaffolding -- 3.5 Genetic Algorithm -- 3.6 Differential Evolution -- 3.7 Artificial Immunological System -- 3.8 Methodology -- 3.9 Results

3.10 Conclusions -- References -- 4 Design of a …