Transactions on Computational Collective Intelligence XXXVII [electronic resource] /

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Material type: Text

TextSeries: Transactions on Computational Collective Intelligence ; 13750Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2022Edition: 1st ed. 2022Description: XI, 171 p. 33 illus., 10 illus. in color. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783662665978

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Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:

006.3 23

LOC classification:

Q334-342
TA347.A78

Online resources:

Click here to access online

Contents:

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.

In: Springer Nature eBookSummary: 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. .

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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. .

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