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An Intelligent decision support system for GIS software selection
Faculty
Computer Science
Year:
2024
Type of Publication:
ZU Hosted
Pages:
Authors:
Soaad Mohamed Nagieb
Staff Zu Site
Abstract In Staff Site
Journal:
Volume:
Keywords :
, Intelligent decision support system , , software selection
Abstract:
The objective of this study is to improve the process of evaluation and selection of the GIS software package. A framrwork for integrating the strength of expert system and multicriteria decision making is developed. This framework helps the decision makers to find the most suitable GIS software that fulfill their needs
Author Related Publications
Soaad Mohamed Nagieb, "A Knowledge-Based System for GIS Software Selection", Zarqa University., 2013
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Soaad Mohamed Nagieb, "A Model for Measuring Geographic Information Systems Success", Scientific Research Publishing, 2015
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Soaad Mohamed Nagieb, "Evaluation of Critical Success Factors for GIS Implementation Using Analytic Hierarchy Process", MEACSE Publications, 2015
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Soaad Mohamed Nagieb, "Classification of Cervical Spine Fracture and Dislocation Using Refined Pre-Trained Deep Model and Saliency Map", MDPI, 2023
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Soaad Mohamed Nagieb, "A Succss Model for Geographic Information Systems", 2024
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Department Related Publications
Khalid Aly Eldrandaly Mohamed Saeed Eldrandaly, "An Expert GIS-Based ANP-OWA Decision Making Framework for Tourism Development Site Selection", MECS Publisher, 2014
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Khalid Aly Eldrandaly Mohamed Saeed Eldrandaly, "A Modified Artificial Bee Colony Algorithm for Solving Least-Cost Path Problem in Raster GIS", Natural Sciences Publishing Corporation., 2015
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Mohamed Monier Hassan Mohamed Hassan, "A Modified Artificial Bee Colony Algorithm for Solving Least-Cost Path Problem in Raster GIS", Natural Sciences Publishing Corporation., 2015
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Nabil Moustafa AbdelAziz, "A Modified Artificial Bee Colony Algorithm for Solving Least-Cost Path Problem in Raster GIS", Natural Sciences Publishing Corporation., 2015
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Abdelnaser Hessien Reyad Zaied , "An Integrated Framework for Project Management Success Factors", the Egyptian International Journal of Engineering Science and Technology (EIJEST),, 2014
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