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

Abdolmajidi, Ehsan LU ; Harrie, Lars LU and Mansourian, Ali LU (2016) In SpringerPlus 5(1).
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... (More)

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.

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Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Defuzzification, Fuzzy logic, Inference method, Spatial data infrastructure, System dynamics technique
in
SpringerPlus
volume
5
issue
1
publisher
Springer
external identifiers
  • Scopus:84963569152
  • WOS:000373219600003
ISSN
2193-1801
DOI
10.1186/s40064-016-1922-1
language
English
LU publication?
yes
id
cf3b2cf7-7c8e-481b-8cf7-16011aeb6471
date added to LUP
2016-04-28 13:23:47
date last changed
2016-10-13 05:07:15
@misc{cf3b2cf7-7c8e-481b-8cf7-16011aeb6471,
  abstract     = {<p>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.</p>},
  author       = {Abdolmajidi, Ehsan and Harrie, Lars and Mansourian, Ali},
  issn         = {2193-1801},
  keyword      = {Defuzzification,Fuzzy logic,Inference method,Spatial data infrastructure,System dynamics technique},
  language     = {eng},
  month        = {12},
  number       = {1},
  publisher    = {ARRAY(0x18bd92c8)},
  series       = {SpringerPlus},
  title        = {The stock-flow model of spatial data infrastructure development refined by fuzzy logic},
  url          = {http://dx.doi.org/10.1186/s40064-016-1922-1},
  volume       = {5},
  year         = {2016},
}