Progress in Web-based decision support technologies

Bhargava, Hemant K.; Power, Daniel; Sun, Daewon

doi:10.1016/j.dss.2005.07.002

Cited by 173 publications

(93 citation statements)

References 36 publications

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“…Recent development in computer technology has provided new opportunities to enhance the use of MCDA [3,21,28,33]. For example, with today's multimedia facilities, MCDA methods can be visualized to help preference elicitation and the analysis of the results.…”

Section: Multicriteria Decision Support Systemsmentioning

confidence: 99%

Smart-Swaps — A decision support system for multicriteria decision analysis with the even swaps method

Mustajoki

Hämäläinen

2007

Decision Support Systems

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This paper introduces a new web-based decision support tool calledSmart-Swaps to support multicriteria decision analysis. The decision maker's preferences are elicited with the even swaps method, which is an elimination process based on value trade-offs. The software provides a platform for carrying out the elimination process and implements a preference programming model to give suggestions to the decision maker on how to proceed with the process. Such decision support can provide substantial help to the decision maker, especially when the number of alternatives and attributes is large.

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Section: Multicriteria Decision Support Systemsmentioning

confidence: 99%

Smart-Swaps — A decision support system for multicriteria decision analysis with the even swaps method

Mustajoki

Hämäläinen

2007

Decision Support Systems

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“…Our approach can, in some aspects of fuzzy logic implementation, be compared to the solution proposed by Weon and Kim (2001) or the system developed for the evaluation of students' learning achievement (Bai & Chen, 2008). The World Wide Web is reducing technological barriers and make it easier for users in different geographical locations to access the decision support models and tools (Shim et al, 2002;Bhargava et al, 2007). Internet based expert systems can have different architectures, such as centralized, replicated or distributed.…”

Section: Introductionmentioning

confidence: 99%

Expert System for Identification of Sport Talents: Idea, Implementation and Results

Papić¹,

Rogulj²,

Pleština³

2011

Expert Systems for Human, Materials and Automation

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“…Webbased DSS systems remain less common, especially in the field of natural disaster management, while the World Wide Web technologies can provide integrated platforms for the design, development, implementation and deployment of such Decision Support Systems. Current systems provide the end users with a broad range of capabilities and decision tasks, including information gathering and analysis, model building, sensitivity analysis, collaboration, decision implementation, spatial analysis and spatial visualization [5]. Also, by using the web-based approach, DSS systems become more flexible as all the components of the system are located on the web, distributed in different locations, while the calculations for the outputs and the results of the models are running "on the fly".…”

Section: Introductionmentioning

confidence: 99%

FLIRE DSS: A web tool for the management of floods and wildfires in urban and periurban areas

et al. 2016

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A web-based Decision Support System, named FLIRE DSS, for combined forest fire control and planning as well as flood risk management, has been developed and is presented in this paper. State of the art tools and models have been used in order to enable Civil Protection agencies and local stakeholders to take advantage of the web based DSS without the need of local installation of complex software and their maintenance. Civil protection agencies can predict the behavior of a fire event using real time data and in such a way plan its efficient elimination. Also, during dry periods, agencies can implement "what-if " scenarios for areas that are prone to fire and thus have available plans for forest fire management in case such scenarios occur. Flood services include flood maps and flood-related warnings and become available to relevant authorities for visualization and further analysis on a daily basis. When flood warnings are issued, relevant authorities may proceed to efficient evacuation planning for the areas that are likely to flood and thus save human lives. Real-time weather data from ground stations provide the necessary inputs for the calculation of the fire model in real-time, and a high resolution weather forecast grid supports flood modeling as well as the development of "what-if " scenarios for the fire modeling. All these can be accessed by various computer sources including PC, laptop, Smartphone and tablet either by normal network connection or by using 3G and 4G cellular network. The latter is important for the accessibility of the FLIRE DSS during firefighting or rescue operations during flood events. All these methods and tools provide the end users with the necessary information to design an operational plan for the elimination of the fire events and the efficient management of the flood events in almost real time. Concluding, the FLIRE DSS can be easily transferred to other areas with similar characteristics due to its robust architecture and its flexibility.

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Progress in Web-based decision support technologies

Cited by 173 publications

References 36 publications

Smart-Swaps — A decision support system for multicriteria decision analysis with the even swaps method

Smart-Swaps — A decision support system for multicriteria decision analysis with the even swaps method

Expert System for Identification of Sport Talents: Idea, Implementation and Results

FLIRE DSS: A web tool for the management of floods and wildfires in urban and periurban areas

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