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High-Level Model for the Design of KPIs for Smart Cities Systems Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Smart Cities System Design Method Based on Case Based Reasoning

Authors : Cezary Orłowski, Artur Ziółkowski, Aleksander Orłowski, Paweł Kapłański, Tomasz Sitek, Witold Pokrzywnicki

Published in: Transactions on Computational Collective Intelligence XXV

Publisher: Springer Berlin Heidelberg

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Abstract

The objective of this paper is to present the results of research carried out to develop a design method for Smart Cities systems. The method is based on the analysis of design cases of Smart Cities systems in cities, the selection of the city appropriate to the requirements for implementation and application. The Case Based Reasoning method was used to develop the proposed design methodology, along with mechanisms of the conversion of project processes and roles to Rational Unified Processes (RUP). The prerequisite for the proposed method is that the enterprise manager must be knowledgeable about high-level Smart Cities system architecture and the design framework applied. The authors, being themselves knowledgeable about architecture of this kind and about project environments which implement KPI models, propose a generic solution applicable to any environments and system architectures.

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previous chapter Designing Aggregate KPIs as a Method of Implementing Decision-Making Processes in the Management of Smart Cities
next chapter Model of an Integration Bus of Data and Ontologies of Smart Cities Processes
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Metadata
Title
Smart Cities System Design Method Based on Case Based Reasoning
Authors
Cezary Orłowski
Artur Ziółkowski
Aleksander Orłowski
Paweł Kapłański
Tomasz Sitek
Witold Pokrzywnicki
Copyright Year
2016
Publisher
Springer Berlin Heidelberg
Book
Transactions on Computational Collective Intelligence XXV

Print ISBN: 978-3-662-53579-0

Electronic ISBN: 978-3-662-53580-6

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-662-53580-6_4

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