An Intelligent decision support system for GIS software selection

Faculty Computer Science Year: 2024
Type of Publication: ZU Hosted Pages:
Authors:
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 More
  • Soaad Mohamed Nagieb, "A Model for Measuring Geographic Information Systems Success", Scientific Research Publishing, 2015 More
  • Soaad Mohamed Nagieb, "Evaluation of Critical Success Factors for GIS Implementation Using Analytic Hierarchy Process", MEACSE Publications, 2015 More
  • Soaad Mohamed Nagieb, "Classification of Cervical Spine Fracture and Dislocation Using Refined Pre-Trained Deep Model and Saliency Map", MDPI, 2023 More
  • Soaad Mohamed Nagieb, "A Succss Model for Geographic Information Systems", 2024 More

Department Related Publications

  • Abdelnaser Hessien Reyad Zaied , "A Technique for Cost Justified Software Usability Testing", Engineering Research Journal, Helwan University,, 2002 More
  • 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 More
  • Abdelnaser Hessien Reyad Zaied , "Development of Driver Assistance Collision Avoidance Fuzzy System", Emirates Journal for Engineering Research, 2006 More
  • Elshaymaa Adel Tantawi, "Applying Big Data Analytics to Retail for Improved Supply Chain Visibility", American Scientific Publishing Group (ASPG), New Orleans, USA, 2021 More
  • Asmaa Hanafy Ali Ghoniem, "Banknote Recognition for Visually Impaired Using Key-point and Support Vector Machine", ٌٍُESRG, 2022 More
Tweet