Coupling Multi-criteria Analysis And Machine Learning For Agent Based Group Decision Support: Spatial Localization

Omari, Youcef; Hamdadou, Djamila; Mami, Mohammed Amine

doi:10.12785/ijcds/120106

Cited by 1 publication

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“…These elements constitute the decision matrix of the site selection problem. This phase involves collecting terms from other related studies and is based mainly on the systematic method and case studies proposed in the works of [2], [21], [22], [45], [46].…”

Section: Ontology Development Processmentioning

confidence: 99%

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An ontology-based spatial group decision support system for site selection application

Djelloul

Hamdadou²

2023

IJECE

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<span lang="EN-US">This paper presents a new ontology-based multicriteria spatial group decision support system (GDSS) dedicated to site selection problems. Site selection is one of the most complex problems in the construction of a new building. It presents a crucial problem in terms of selecting the appropriate site among a group of decision makers with multiple alternatives (sites); in addition, the site must satisfy several criteria. To deal with this, the present paper introduces an ontology based multicriteria analysis method to solve semantic heterogeneity in vocabulary used by participants in spatial group decision support systems. The advantages of using ontology in GDSS are many: i) it enables the integration of heterogeneous sources of data available on the web and ii) it enables to facilitate meaning and sharing of data used in GDSS by participants. In order to facilitate cooperation and collaboration between participants in GDSS, our work aims to apply ontology at the model's structuration phase. The proposed system has been successfully implemented and exploited for a personalized environment.</span>

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Section: Ontology Development Processmentioning

confidence: 99%

“…The development of the list of criteria consists of identifying all the factors influencing land habitat suitability. These terms are inspired from works [2], [21], [22], [45], [46]. Some of these factors can be regrouped in criteria by semantic aggregation as shown in Table 4.…”

Section: Ontology Development Processmentioning

confidence: 99%

An ontology-based spatial group decision support system for site selection application

Djelloul

Hamdadou²

2023

IJECE

View full text Add to dashboard Cite

show abstract

Coupling Multi-criteria Analysis And Machine Learning For Agent Based Group Decision Support: Spatial Localization

Cited by 1 publication

References 1 publication

An ontology-based spatial group decision support system for site selection application

An ontology-based spatial group decision support system for site selection application

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