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LarsH

Lars Harrie

Professor

LarsH

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

Författare

  • Ehsan Abdolmajidi
  • Lars Harrie
  • Ali Mansourian

Summary, in English

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.

Avdelning/ar

  • Institutionen för naturgeografi och ekosystemvetenskap

Publiceringsår

2016-12-01

Språk

Engelska

Publikation/Tidskrift/Serie

SpringerPlus

Volym

5

Issue

1

Dokumenttyp

Artikel i tidskrift

Förlag

Springer

Ämne

  • Physical Geography

Nyckelord

  • Defuzzification
  • Fuzzy logic
  • Inference method
  • Spatial data infrastructure
  • System dynamics technique

Aktiv

Published

Projekt

  • Modeling and improving Spatial Data Infrastructure (SDI)

ISBN/ISSN/Övrigt

  • ISSN: 2193-1801