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Integrating multicriteria analysis and geographic information systems: the ordered weighted averaging (OWA) approach

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  • Jacek Malczewski

Abstract

The ordered weighted averaging (OWA) is a family of multicriteria combination (aggregation) procedures. The generality of OWA is related to its capability to implement different combination operators by selecting appropriate order weights. By specifying suitable order weights it is possible to change the form of aggregation from the minimum-type combination through all intermediate types including the conventional weighted linear combination, to the maximum-type combination. The paper focuses on the OWA method and an approach for integrating geographic information system (GIS) and OWA. It also discusses an application of the GIS-OWA system to a real-world environmental management problem that involves developing watershed management strategies in the Cedar Creek watershed in Ontario, Canada.

Suggested Citation

  • Jacek Malczewski, 2006. "Integrating multicriteria analysis and geographic information systems: the ordered weighted averaging (OWA) approach," International Journal of Environmental Technology and Management, Inderscience Enterprises Ltd, vol. 6(1/2), pages 7-19.
  • Handle: RePEc:ids:ijetma:v:6:y:2006:i:1/2:p:7-19
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    Citations

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    Cited by:

    1. Ata Ghaffari Gilandeh & Behrooz Sobhani & Elnaz Ostadi, 2020. "Combining Arc-GIS and OWA model in flooding potential analysis (case study: Meshkinshahr city)," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 102(3), pages 1435-1449, July.
    2. Mustafa Mokrech & Robert J Nicholls & Richard J Dawson, 2012. "Scenarios of Future Built Environment for Coastal Risk Assessment of Climate Change Using a GIS-Based Multicriteria Analysis," Environment and Planning B, , vol. 39(1), pages 120-136, February.
    3. Liu, Xuehua & Liu, Lin & Peng, Yu, 2017. "Ecological zoning for regional sustainable development using an integrated modeling approach in the Bohai Rim, China," Ecological Modelling, Elsevier, vol. 353(C), pages 158-166.
    4. Hamid Rezaei & Elżbieta Macioszek & Parisa Derakhshesh & Hassan Houshyar & Elias Ghabouli & Amir Reza Bakhshi Lomer & Ronak Ghanbari & Abdulsalam Esmailzadeh, 2023. "A Spatial Decision Support System for Modeling Urban Resilience to Natural Hazards," Sustainability, MDPI, vol. 15(11), pages 1-18, May.
    5. Mohammad Ebrahimi Sirizi & Esmaeil Taghavi Zirvani & Abdulsalam Esmailzadeh & Jafar Khosravian & Reyhaneh Ahmadi & Naeim Mijani & Reyhaneh Soltannia & Jamal Jokar Arsanjani, 2023. "A Scenario-Based Multi-Criteria Decision-Making Approach for Allocation of Pistachio Processing Facilities: A Case Study of Zarand, Iran," Sustainability, MDPI, vol. 15(20), pages 1-21, October.

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