Instructor

Mohamed Abdelazim

Associate Professor-Electronics and Communications Department

Mohamed Abdel-Azim received the Ph.D. degree in Electronics and Communications Engineering from the Faculty of Engineering-Mansoura University-Egypt by 2006. After that he worked as an assistant professor at the electronics & communications engineering department, then awarded the associate professor degree in 2012 until now. He has 110 publications in various international journals and conferences. His current research interests are in multimedia processing, wireless communication systems, and field programmable gate array (FPGA) applications. I had awarded the best Ph.D. thesis at Mansoura University at 2007. He is the executive director of scientific computing center and the consultant for IT in Mansoura University. Chairman of Computer Engineering Department - College of Computer - Qassim Private Colleges

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Overview

Definition - What does Decision Support System (DSS) mean?

A decision support system (DSS) is a computer-based application that collects, organizes and analyzes business data to facilitate quality business decision-making for management, operations and planning. A well-designed DSS aids decision makers in compiling a variety of data from many sources: raw data, documents, personal knowledge from employees, management, executives and business models. DSS analysis helps companies to identify and solve problems, and make decisions.

Techopedia explains Decision Support System (DSS)

Decision-making analysis was conducted by the Carnegie Institute of Technology in the late 1950s and early 1960s. The Massachusetts Institute of Technology (MIT) applied computer technology to decision-making theory in the 1960s. By the 1980s, intensive research on DSS was underway, and new theories and concepts emerged from single-user models of DSS, including organizational decision support systems (ODSSs), group decision support systems (GDSSs) and executive information systems (EISs). By 1990 DSS was broadened to include data warehousing and online analytical processing.

Typical information gathered by a DSS may include:

  • Projected revenue and sales figures, some based on new product sales projections
  • Comparative sales figures between selected time periods
  • Inventory data organized into relational databases for timely analysis

In some DSS applications, timely analysis includes the consequences of different decision alternatives.

DSS applications are used in many diverse fields, including medical diagnosis, credit loan verification, evaluating bids on engineering projects, business and business management, agricultural production at the farm and policy levels, forest management and railroad (for evaluation of defective rails).

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