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dc.contributor.authorEzbakhe, Fatine
dc.contributor.authorPérez Foguet, Agustí
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental
dc.date.accessioned2017-10-31T18:50:35Z
dc.date.issued2017-04
dc.identifier.citationEzbakhe, F., Pérez-Foguet, A. Considering data uncertainty in the water and sanitation sector: application to large number of alternatives and criteria. "European Water", Abril 2017, núm. 57, p. 215-222.
dc.identifier.issn1105-7580
dc.identifier.urihttp://hdl.handle.net/2117/109556
dc.description.abstractPriority-driven and target-focused management of water and sanitation services is essential to achieve long-term sustainability. However, in the context of water and sanitation, statistical uncertainty is an inevitable feature, as surveys are the primary sources of the information used in the decision making process. Therefore, it needs to be considered to have a greater confidence in the decisions made based on the collected data. Outranking approaches provide an opportunity to handle imprecision and uncertainty characteristic of water management problems. In particular, ELECTRE-III uses pseudo-criteria to consider uncertainty in the decision-maker’s preferences, but does not take into account statistical uncertainty. A new interpretation of ELECTRE-III, in which pseudo-criteria are linked to the data uncertainty, is presented in the paper. The modified outranking approach (E3M) is used to evaluate water and sanitation services in Kenya and rank its 338 subdistricts according to their performances on 9 different criteria. E3M proved to be an effective ranking tool, providing a detailed hierarchy between the subdistricts, even when dealing with hundreds of alternatives. However, a quadratic dependence between the number of subdistricts ranked and the computational cost of the method was found, indicating that for larger number of alternatives (order of thousands), the time required would rise to the order of hours. Future work should focus on optimising the method’s algorithm and allowing its scalability to thousands of alternatives.
dc.format.extent8 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Enginyeria civil::Enginyeria hidràulica, marítima i sanitària::Enginyeria sanitària
dc.subject.lcshSanitation
dc.subject.otherELECTRE III
dc.subject.otherData uncertainty
dc.subject.otherWater and Sanitation
dc.subject.otherMultiple criteria decision-making
dc.subject.otherNon compensatory
dc.titleConsidering data uncertainty in the water and sanitation sector: application to large number of alternatives and criteria
dc.typeArticle
dc.subject.lemacSanejament
dc.contributor.groupUniversitat Politècnica de Catalunya. EScGD - Engineering Sciences and Global Development
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://www.ewra.net/ew/pdf/EW_2017_57_30.pdf
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac21588468
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
local.citation.authorEzbakhe, F.; Pérez-Foguet, A.
local.citation.publicationNameEuropean Water
local.citation.number57
local.citation.startingPage215
local.citation.endingPage222


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