Textbook in PDF format

Considering the advances of the different approaches and applications in the last years, and even in the last months, this is a particular moment in history to transform every data-driven decision-making process with the power of Artificial Intelligence (AI). This book reveals, through concrete case studies and original application ideas, how cutting-edge AI techniques are revolutionizing industries such as finance, health care, and manufacturing. It invites us to discover how machine learning, decision analysis, and intelligent optimization are changing, directly or indirectly, almost all aspects of our daily lives. This comprehensive book offers practical insights and real-world applications for professionals, researchers, and students alike. It helps to learn how to apply AI for smarter, data-driven decisions in areas like supply chain management, risk assessment, and even personalized medicine. Be inspired by the chapters of this book and unlock the full potential of AI in your field!
The book opens with “Part I: Decision Analysis,” analyzing the power of AI to enhance traditional decision-making processes. Novel methodologies like multicriteria ordinal classification are applied to real-world financial data, demonstrating the potential for improved resource management. We also see AI’s impact on infrastructure planning, investment selection, and higher education management, offering readers a quick overview of how widely this is applied.
“Part II: Intelligent Optimization” explores the AI’s optimization capabilities. From internet shopping experiences to searching for optimizing delivery routes with drones, AI algorithms show their ability to tackle intricate problems with precision and adaptability. The automation of complex tasks, such as topic generation for government requests, highlights the potential for AI to enhance efficiency and transparency in administrative processes.
The concluding part, “Part III: Data-Driven Decision,” exemplifies the convergence of AI and data analysis for informed decision-making. In this section, authors examine diverse applications, from predicting the impact of sustainability practices on family businesses to harnessing learning analytics for improved reading comprehension. AI’s potential in financial predictions, garment fit classification, and even stress analysis of engineering structures emphasizes its versatility and adaptability across domains.
These three parts collectively make evident the impact of AI on prescriptive analytics, offering a glimpse into how the current data-driven insights and intelligent optimization converge to empower decision-makers.
Decision Analysis
A New Methodology Based on Multicriteria Ordinal Classification for the Management of Financial Resources with Application to Real Data from the Stock Market
M-SALD: A Novel Support Tool for Geo-driven Decision-Making in the Selection of Hydraulic Structures Location
Multicriteria Hierarchical Ranking for Investment Selection in Latin American Countries
Increasing Performance and Competitiveness in HEIs Applying an ICT Quality KPI Model Analyzed with AHP Method
A Multicriteria Model for the Selection of Online Travel Agencies
A New Methodology Based on Multicriteria Ordinal Classification for the Management of Financial Resources with Application to Real Data from the Stock Market
Intelligent Optimization
Warm Starting Integer Programming for the Internet SHopping Optimization Problem with Multiple Item Units (ISHOP-U)
Hybrid Genetic Algorithm Based on Machine Learning and Fitness Function Estimation Proposal for Ground Vehicle and Drone Cooperative Delivery Problem
Automation of Topic Generation in Government Information Requests in Mexico
Analysis of Accuracy on Data Visualization Techniques for Multi-objective Algorithm Performance Based on Convergence and Diversity Towards the Pareto Frontier
Enhancing Supply Chain Management: A Hybrid Approach for Smart Decisions and Performance
Attribute Weighting Model for Breast Cancer Prediction with the Harmony Search Algorithm
Data-Driven Decision
Solidary Family Business, Intellectual Property and Sustainability in Rural Producers in Mexico: A Hybrid SEM-PLS and Fuzzy Approach
Learning Analytics in Reading Comprehension
Improving Home Loan Predictions: A Fusion of PCA, Decision Tree and Random Forest Approaches
Classification of Upper Body Fits Using Fit Models
Regression Models for Estimating the Stress Concentration Factor of Rectangular Plates
A Performance Analysis of Technical Indicators on the Indian Stock Market
PD-Monitor: A Self-management App for Monitoring Patients with Parkinson’s Disease
BootstrapPLS-Fuzzy-Genetic Hybridization to Predict the Effect of the Solidarity Economy and Sustainability on Competitiveness: The Case of a Farmer’s Market in Mexico