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Artificial intelligence in prescriptive analytics = innovations in decision analysis, intelligent optimization, and data-driven decisions /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Artificial intelligence in prescriptive analytics/ edited by Witold Pedrycz ... [et al.].
Reminder of title:	innovations in decision analysis, intelligent optimization, and data-driven decisions /
other author:	Pedrycz, Witold.
Published:	Cham :Springer Nature Switzerland : : 2024.,
Description:	x, 540 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer Nature eBook
Subject:	Artificial intelligence. -
Online resource:	https://doi.org/10.1007/978-3-031-66731-2
ISBN:	9783031667312

Artificial intelligence in prescriptive analytics = innovations in decision analysis, intelligent optimization, and data-driven decisions /
Artificial intelligence in prescriptive analyticsinnovations in decision analysis, intelligent optimization, and data-driven decisions /[electronic resource] :edited by Witold Pedrycz ... [et al.]. - Cham :Springer Nature Switzerland :2024. - x, 540 p. :ill. (some col.), digital ;24 cm. - Intelligent systems reference library,v. 2601868-4408 ;. - Intelligent systems reference library ;v. 3..

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 -- MSALD a novel support tool for geodriven 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 method for ordinal classification based on comparisons with representative objects through a logical predicate regarding preference closeness -- 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 -- 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.

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!

ISBN: 9783031667312

Standard No.: 10.1007/978-3-031-66731-2doiSubjects--Topical Terms:

559380
Artificial intelligence.

LC Class. No.: HD30.23

Dewey Class. No.: 658.4030028563

Artificial intelligence in prescriptive analytics = innovations in decision analysis, intelligent optimization, and data-driven decisions /
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