Use of Fuzzy Extent AHP based Decision Support System and Geographic Information System to Site Wind Turbines in a Sustainable Manner

dc.contributor.authorBrown-Acquaye W.
dc.contributor.authorLempogo F.
dc.contributor.authorArthur J.K.
dc.contributor.authorAnekwe E.K.
dc.date.accessioned2025-03-06T18:11:43Z
dc.date.accessioned2025-03-06T18:58:59Z
dc.date.issued2019
dc.description.abstractIn this paper we use the fuzzy extent analytic hierarchy process (AHP) and the ArcGIS geographical information system to develop a decision support tool to aid stakeholders select the most suitable and sustainable site for a wind turbine farm in Zamfara State, Nigeria. We use fuzzy sets and fuzzy numbers to deal with vagueness of human thought in the selection process and develop the problem hierarchy with the various criteria which will be evaluated to obtain the fuzzy comparison matrices which are then used to calculate of fuzzy synthetic extents. The comparison of fuzzy synthetic extents, the evaluation of the minimum degree of possibilities. and normalization of weight vectors are done to aggregate the local weights to obtain scores and ranking of the alternative sites for the wind turbine. We then use the weighted linear combination technique in ARCGIS to generate raster suitability maps and produce a composite suitability map for the turbine sites as output. � 2019 IEEE.
dc.identifier.doi10.1109/ICDSA46371.2019.9404233
dc.identifier.isbn978-172810480-5
dc.identifier.urihttp://162.250.124.58:4000/handle/123456789/402
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.source2019 ICDSA International Conference on Computer, Data Science and Applications, ICDSA 2019
dc.subjectAnalytic hierarchy process
dc.subjectDecision support
dc.subjectfuzzy logic
dc.subjectsuitability maps
dc.subjectsustainable development
dc.subjectweighted linear combination
dc.titleUse of Fuzzy Extent AHP based Decision Support System and Geographic Information System to Site Wind Turbines in a Sustainable Manner
dc.typeOther
oaire.citation.conferenceDate17 July 2019 through 19 July 2019
oaire.citation.conferencePlaceAccra

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