The stock-flow model of spatial data infrastructure development refined by fuzzy logic

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskrift

Abstract

The system dynamics technique has been demonstrated to be a proper method by which to model and simulate the development of spatial data infrastructures (SDI). An SDI is a collaborative effort to manage and share spatial data at different political and administrative levels. It is comprised of various dynamically interacting quantitative and qualitative (linguistic) variables. To incorporate linguistic variables and their joint effects in an SDI-development model more effectively, we suggest employing fuzzy logic. Not all fuzzy models are able to model the dynamic behavior of SDIs properly. Therefore, this paper aims to investigate different fuzzy models and their suitability for modeling SDIs. To that end, two inference and two defuzzification methods were used for the fuzzification of the joint effect of two variables in an existing SDI model. The results show that the Average–Average inference and Center of Area defuzzification can better model the dynamics of SDI development.

Detaljer

Författare
Enheter & grupper
Forskningsområden

Ämnesklassifikation (UKÄ) – OBLIGATORISK

  • Naturgeografi

Nyckelord

Originalspråkengelska
Artikelnummer267
TidskriftSpringerPlus
Volym5
Utgivningsnummer1
StatusPublished - 2016 dec 1
PublikationskategoriForskning
Peer review utfördJa

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Relaterad forskningsoutput

Abdolmajidi, E., 2016, Lund: Lund University, Faculty of Science, Department of Physical Geography and Ecosystem Science. 64 s.

Forskningsoutput: AvhandlingDoktorsavhandling (sammanläggning)

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Related projects

Ali Mansourian, Ehsan Abdolmajidi & Lars Harrie

2012/09/142016/11/18

Projekt: Avhandling

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