Web-Based Decision Support System

2021

Web technology has enabled an efficient way of providing and exchanging applications for Decision Support Systems (DSS). Online technology has become the foundation for the design of the web based DSS and the operation development center of DSS. The Webbased DSS is a powerful method which can help users to identify data and accessible services as an online service on the Intranet. The Web-based DSS consists of a computerized framework which, through the web browser, provides users with decision support information or resources. The aim is to provide fast and inexpensive access to data, information and expertise available around the world, along with the ability in order to collaborate effectively with remote partners in decision support systems. Speedy processes, improved communication and teamwork, distributed computation, improved group members' efficiency, improved data management and data warehouse management in decision making systems and providing remote control are some targets of the webbased DDS. In this study, recent achievements and application of the Web-based DDS in the different field are reviewed to suggest new ideas in the research filed. As a result, the research filed can be moved forward.

2012

A web-based decision support system, GZ-AgriGIS, was developed to assist local farmers in the region of Guangzhou, China make field-based crop management decisions, e.g. fertilizer applications (replacement) and irrigation. The system was aimed to share available site-specific agricultural domain knowledge and analytical models with the local farmers. The representation of domain knowledge and organization of analytical models were outlined. Considering the micro-environmental variations of the region, we paid special attention to the spatial suitability of domain knowledge and analytical models. Through the online service of GZ-AgriGIS, farmers can easily acquire scientific guidance for crop management decisions.

Studies in Informatics and Control, 2002

A wide variety of specific Decision Support Systems have been and can be built using Internet and Web technologies. This survey article is a focused and updated version of Power (2002) Chapter 11 "Building Web-based and Interorganizational Decision Support Systems". The survey emphasizes the what, how and why of building Web-based DSS. Also, Web-based examples of all five major categories of DSS, communications-driven, data-driven, document-driven, knowledge-driven and modeldriven, are summarized and analyzed.

Today decision support systems are major actors of Information Technology based systems in management, which may improve the quality of decision making. In this study we aimed to build an architecture that will ease implementing decision support systems as well as explore how a web-based system can be useful for rapid and flexible access to information required for decision-making.

APIEMS 2008 Proceedings of the 9th Asia Pasific Industrial Engineering & Management Systems Conference, 2008

The methods and technologies for planning and management of water resource systems have matured over the past decades. However, relatively few of them have been actually and regularly applied in real world decisional processes. Developing decision support systems for water resource applications is a complicated and challenging task. The objective of this paper is to study of the application of decision support systems in water resources management. The paper is divided in three parts. In the first part, the general definition of reservoir and Decision Support System (DSS) is presented. The second discussion is devoted to a literature review of DSS related to water resources management. And finally, two case studies of DSS are presented.

Americas Conference on Information Systems, Long …, 2000

New technologies, especially the World-Wide Web technologies, have created many opportunities for research about Decision Support Systems. This paper reviews key concepts and technical issues.

The ultimate objective of the Glowa-Volta Project (GVP) is to develop a Decision Support System (DSS) for the management of Volta Basin water resources that is scientifically sound and relevant to the needs and interests of diverse water sector stakeholders. An integrated economic-hydrologic model has been developed at catchment and basin scale, and preliminary output demonstrates the value of integrated analysis in evaluating water-energy sector interactions. This paper presents our first efforts to link GAMS and WaSiM models and the first prototype of the DSS.

2016

Volume 5, Issue 1, January – February 2016 Page 5 Abstract This paper presents an approach to the creation of an agentbased system that aims to presenting an application for decisions in ecosystem analysis. The issue of drinking water quality is very important in the world, so, an agent based web decision support infrastructure (WATERDSS) has been designed and implemented to provide an access to simulation and experimental results on flow waterquality conditions and to offer sophisticated scenario testing capabilities for research and drinking water treatment plant planning through the graphical user interface with known controls. The design of drinking water treatment plant in WATERDSS depends on the characteristic of raw water and the water quality parameters. We presented many strategies to manage water quality and water pollution to protect human health by building an agent based web decision support system to help an authority of water supply stations to find information about ...

Technologies, Theories and Applications

Decision making processes for developing water resources systems infrastructure and operational policies have ceased to be the exclusive domain of just a few, privileged persons making decisions. Now, more and more groups of the society at both the international and national levels are demanding opportunities to participate in decision making, as well as information about potential consequences of policy decisions. In some countries, public participation in the decision making process has been already sanctioned by law, for example through Environmental Impact Assessment (EIA), public permitting processes, and notice and comment rulemaking procedures. However, in many developing countries, public participation remains unfulfilled despite growing awareness and pressure exercised by various interest groups. To be effective, public participation – either active or passive (through access to knowledge and information concerning the decisions and their impact) – needs appropriate politic...

AMCIS 2001 Proceedings, 2001

For DSS developers, the big leap forward is to use the "Web as computer".