Doprava zdarma při nákupu nad 1 499 Kč přes Zásilkovnu nebo PPL Box.

Zjistit stav objednávky

Staňte se součástí komunity milovníků knih z celého světa a získejte hromadu výhod. Založit účet zdarma

Doprava zdarma se Zásilkovnou nad 1 499 Kč

Kurýr DPD 69 Kč PPL shop 49 Kč Balíkovna 69 Kč PPL kurýr 74 Kč PPL box 39 Kč Balíkovna 49 Kč Výdejní místo DPD 49 Kč Zásilkovna 39 Kč

Kontakt

Jak nakupovat

Pomoc

Můj účet

▸ Prázdný :-(

Doprava zdarma při nákupu nad 1 499 Kč přes Zásilkovnu nebo PPL Box.

Knihy v angličtině > Výpočetní a informační technologie > Informatika > Umělá inteligence > Expertní systémy/systémy založené na znalostech > Information Processing and Management of Uncertainty in Knowledge-Based Systems

Information Processing and Management of Uncertainty in Knowledge-Based Systems

Name: Information Processing and Management of Uncertainty in Knowledge-Based Systems
Brand: Springer
SKU: 49178177
Price: 5864 CZK
Availability: InStock
Author: Marie-Jeanne Lesot
ISBN: 9783031740008

20th International Conference, IPMU 2024, Lisbon, Portugal, July 22-26, 2024, Proceedings, Volume 2

Bernadette Bouchon-Meunier

Ronald R. Yager

Jazyk

Angličtina

E-kniha Adobe ePub DRM

Nakladatelství Springer, duben 2025

This book is a collection of papers focused on techniques for managing uncertainty and aggregation.... Celý popis

Libristo kód: 49178177

586 b

5 864 Kč

Skladem Ihned ke stažení

Mohlo by vás také zajímat

English tests claves a1-c2 Darragh

Brožovaná

174 Kč

Peace for Each Hour: Living Free After Cancer Mary J Nelson

Brožovaná

340 Kč

This book is a collection of papers focused on techniques for managing uncertainty and aggregation. It provides a forum for exchanging ideas between theoreticians and practitioners in these and related areas.The papers are part of the 20th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, which will occur in Lisbon, Portugal, from July 22 to 26, 2024.The collection describes the latest findings on topics such as advances in fuzzy systems and data analysis, optimization, scheduling via modeling uncertainty, explainability, decision-making, implications, data aggregation, and aggregation operators. A special chapter is dedicated to the memory of Michio Sugeno.The book is a valuable resource for practitioners, researchers, and graduate students who want to apply fuzzy-based techniques to real-world data analysis and management processes involving imprecision and uncertainty.