Nguyen / Kowalczyk / Mercik Transactions on Computational Collective Intelligence XXXVII

1. Auflage 2022
ISBN: 978-3-662-66597-8
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 171 Seiten

Reihe: Lecture Notes in Computer Science

These transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as performance optimization in IoT, big data, reliability, privacy, security, service selection, QoS and machine learning. This 37th issue contains 9 selected papers which present new findings and innovative methodologies as well as discuss issues and challenges in the field of collective intelligence from big data and networking paradigms while addressing security, privacy, reliability and optimality to achieve QoS to the benefit of final users.

Zielgruppe

Research

Autoren/Hrsg.

Nguyen, Ngoc Thanh

Kowalczyk, Ryszard

Mercik, Jacek

Motylska-Kuzma, Anna

Inhaltsverzeichnis

The decline of the Buchholz tiebreaker system: a preferable alternative.- Constructing Varied and Attractive Shortlists from Databases: A Group Decision Approach Algorithms for measuring indirect control in corporate networks and effects of divestment.- Algorithms for measuring indirect control in corporate networks and effects of divestment.- Lies, Damned Lies, and Crafty Questionnaire Design.- Solidarity Measures.- Transportation problem with fuzzy unit costs. Z-fuzzy numbers approach.- The new ecological paradigm, functional stupidity and university sustainability – a polish case study.- A Model of a Parallel Design Environment for the Development of Decision-making IoT.