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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
Abdelnaser Hessien Reyad Zaied , "A Technique for Cost Justified Software Usability Testing", Engineering Research Journal, Helwan University,, 2002
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Abdelnaser Hessien Reyad Zaied , "Assessing e-Readiness in the Arab Countries: Perceptions Towards ICT Environment in Public Organizations in the State of Kuwait", Electronic Journal of e-Government, 2007
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Abdelnaser Hessien Reyad Zaied , "Development of Driver Assistance Collision Avoidance Fuzzy System", Emirates Journal for Engineering Research, 2006
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Elshaymaa Adel Tantawi, "Applying Big Data Analytics to Retail for Improved Supply Chain Visibility", American Scientific Publishing Group (ASPG), New Orleans, USA, 2021
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Asmaa Hanafy Ali Ghoniem, "Banknote Recognition for Visually Impaired Using Key-point and Support Vector Machine", ٌٍُESRG, 2022
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