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SIRPSS - Sustainable Industrial Site Redevelopment Planning Support System Read chapter Read first chapter

2018 | OriginalPaper | Chapter

An Intelligent Multi-agent System Using Fuzzy Analytic Hierarchy Process and Axiomatic Design as a Decision Support Method for Refugee Settlement Siting

Authors : Maria Drakaki, Hacer Güner Gören, Panagiotis Tzionas

Published in: Decision Support Systems VIII: Sustainable Data-Driven and Evidence-Based Decision Support

Publisher: Springer International Publishing

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Abstract

Crises and disasters of recent years are complex and occasionally interrelated phenomena, which require complex decision making for effective humanitarian relief operations provision. Moreover, coordination is needed between different humanitarian actors as decision makers. Massive refugee and migrant arrivals in Greece since 2014, mainly a result of a refugee crisis, require complex humanitarian supply chain management and logistics operations. In this paper, refugee settlement site planning decision making process is addressed with an intelligent multi-agent system (MAS) modeling approach. The MAS uses two multi-criteria decision making (MCDM) methods: fuzzy analytic hierarchy process (FAHP) to determine the weights of criteria and fuzzy axiomatic design approach extended with risk factors (RFAD) to rank alternative sites for refugee settlement. The proposed method will be applied to evaluate currently operating temporary accommodation sites in Greece.

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previous chapter SIRPSS - Sustainable Industrial Site Redevelopment Planning Support System
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Metadata
Title
An Intelligent Multi-agent System Using Fuzzy Analytic Hierarchy Process and Axiomatic Design as a Decision Support Method for Refugee Settlement Siting
Authors
Maria Drakaki
Hacer Güner Gören
Panagiotis Tzionas
Copyright Year
2018
Book
Decision Support Systems VIII: Sustainable Data-Driven and Evidence-Based Decision Support

Print ISBN: 978-3-319-90314-9

Electronic ISBN: 978-3-319-90315-6

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-90315-6_2

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