Computational Intelligence for Business Analytics

Witold Pedrycz, Luis Martínez, Rafael Alejandro Espin-Andrade, Gilberto Rivera, Jorge Marx Gómez (Herausgeber)

Buch | Softcover

IX, 423 Seiten

2022 | 1st ed. 2021
Springer International Publishing (Verlag)
978-3-030-73821-1 (ISBN)

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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.

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.

Erscheinungsdatum	28.10.2022
Reihe/Serie	Studies in Computational Intelligence
Zusatzinfo	IX, 423 p. 147 illus., 92 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	664 g
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Mathematik / Informatik ► Mathematik ► Finanz- / Wirtschaftsmathematik
	Technik
Schlagworte	Business Analytics • Business Intelligence • Compensatory Fuzzy Logic • Computational Intelligence • Decision Making • Deep learning • Fuzzy Logic • Fuzzy Sets • machine learning • Neural networks • Rough Sets • Soft Computing
ISBN-10	3-030-73821-3 / 3030738213
ISBN-13	978-3-030-73821-1 / 9783030738211
Zustand	Neuware