A spatial fuzzy influence diagram for modeling spatial objects’ dependencies: A case study on tree-related electric outages

Zhe Zhang, Urška Demšar, Shaowen Wang, Kirsi Virrantaus

Research output: Contribution to journalArticlepeer-review

Abstract

Spatial objects can be interconnected and mutually dependent in complex ways. In Geographical Information Science, spatial objects’ topological relationships are not discussed together with their attributes’ dependencies, and the vagueness of spatial objects is often ignored during the spatial modelling process. To address this, a spatial fuzzy influence diagram (SFID) is introduced. Compared to the traditional statistical or fuzzy modelling approach, the influence diagram brings advantages in helping decision-makers structure complex interdependency problems. A questionnaire was developed to evaluate the applicability of using an influence diagram in modelling spatial objects’ dependencies. As a case study, an SFID is applied to tree-related electric outages. The result of the case study is represented as a vulnerability map of electrical networks. The map shows areas at risk due to treerelated electric outages. The results were first validated by using a visual comparison of the vulnerability map and electricity fault data. In the second validation step, the percentage of fault data, which has received values in different vulnerability categories, was calculated. The results of the case study can be used to support the decision-making process of electrical network maintenance and planning.

Original languageEnglish (US)
Pages (from-to)349-366
Number of pages18
JournalInternational Journal of Geographical Information Science
Volume32
Issue number2
DOIs
StatePublished - Oct 11 2017

Keywords

  • Critical infrastructure
  • Fuzzy logic
  • Influence diagram
  • Spatial fuzzy influence diagram
  • Tree-related electric outages

ASJC Scopus subject areas

  • Information Systems
  • Geography, Planning and Development
  • Library and Information Sciences

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