Computational Intelligence for Business Analytics

1. Auflage 2021
ISBN: 978-3-030-73821-1
Verlag: Springer

Buch, Englisch, 423 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 657 g

Reihe: Studies in Computational Intelligence

Corporate success has been changed by the importance of new developments in Business Analytics (BA) and furthermore by the support of computational intelligence- based techniques. This book opens a new avenues in these subjects, identifies key developments and opportunities. The book will be of interest for students, researchers and professionals to identify innovative ways delivered by Business Analytics based on computational intelligence solutions. They help elicit information, handle knowledge and support decision-making for more informed and reliable decisions even under high uncertainty environments.Computational Intelligence for Business Analytics has collected the latest technological innovations in the field of BA to improve business models related to Group Decision-Making, Forecasting, Risk Management, Knowledge Discovery, Data Breach Detection, Social Well-Being, among other key topics related to this field.

Zielgruppe

Research

Autoren/Hrsg.

Pedrycz, Witold

Martínez, Luis

Espin-Andrade, Rafael Alejandro

Rivera, Gilberto

Marx Gómez, Jorge

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Big Data
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik

Inhaltsverzeichnis

Multi-criteria method for evaluating the impact of informal trade on the Mariscal de Puyo market.- Multicriteria Analysis for LPWAN selection for Industry 4.0 based on TOPSIS and a model of Proportionality.- Comprehensive Minimum Cost Models Based on Consensus Measures.- Strategies for the Development and Success of Women Entrepreneurs through SWOT Analysis and Compensatory Fuzzy Logic.- Fuzzy logic-based approaches in supply chain risk management: a review.