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Auteur Haytham Tahri |
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New Fuzzy-AHP Matlab based graphical user interface (GUI) for a broad range of users: Sample applications in the environmental field / Meryem Tahri in Computers & geosciences, vol 158 (January 2022)
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Titre : New Fuzzy-AHP Matlab based graphical user interface (GUI) for a broad range of users: Sample applications in the environmental field Type de document : Article/Communication Auteurs : Meryem Tahri, Auteur ; Mohamed Maanan, Auteur ; Haytham Tahri, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : n° 104951 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse multicritère
[Termes IGN] gestion forestière
[Termes IGN] interface graphique
[Termes IGN] Matlab
[Termes IGN] outil d'aide à la décision
[Termes IGN] planification
[Termes IGN] processus de hiérarchisation analytique floueRésumé : (auteur) Fuzzy-AHP (analytical hierarchy process) is a powerful method for dealing with subjective information. This popular hybrid approach is widely applied in medical and health science, and industrial management, mainly agriculture and environmental sciences. However, it is a complex, time-consuming method, which has induced us to try and optimize the decision-support system process. We create the Fuzzy-AHP algorithm and program in Matlab software, and convert it with the Matlab based graphical user interface (GUI) application. This is a new desktop tool with a wide selection of applications to help decision-makers prioritize choices and/or criteria goals based on expert judgments imported from Excel and a number of criteria. The new technique is designed to allow experts to fill the matrix judgment from both sides depending on the importance of criteria selection. Also, an optional alpha index to define stable or unstable conditions was requested for advanced users. The application was tested and applied in forest recreation and agroforestry case studies. The user-friendly Fuzzy-AHP Matlab GUI facilitates the process analysis speedily and offers an innovative way of enhancing the uncertainty to find the best compromise among experts. The tool is useful for optimizing the decision-support system process in many different fields. Numéro de notice : A2022-032 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1016/j.cageo.2021.104951 Date de publication en ligne : 30/10/2021 En ligne : https://doi.org/10.1016/j.cageo.2021.104951 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99270
in Computers & geosciences > vol 158 (January 2022) . - n° 104951[article]