Towards a Synergistic Combination of Web-Based and Data-Driven Decision Support Systems via Linguistic Data Summaries

2005 ◽  
pp. 211-217 ◽  
Author(s):  
Janusz Kacprzyk ◽  
Sławomir Zadrożny
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Data Driven ◽  
Web Based ◽  
Linguistic Data ◽  
Synergistic Combination ◽  
Data Summaries

Towards human consistent data driven decision support systems using verbalization of data mining results via linguistic data summaries

2010 ◽  
Vol 58 (3) ◽  
pp. 359-370 ◽  
Author(s):  
J. Kacprzyk ◽  
S. Zadrożny
Keyword(s):  
Data Mining ◽  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Ease Of Use ◽  
Data Driven ◽  
Linguistic Data ◽  
Developing Area ◽  
Tools And Techniques ◽  
Data Summaries

Towards human consistent data driven decision support systems using verbalization of data mining results via linguistic data summariesWe present how the conceptually and numerically simple concept of a fuzzy linguistic database summary can be a very powerful tool for gaining much insight into the essence of data that may be relevant for a business activity. The use of linguistic summaries provides tools for the verbalization of data analysis (mining) results which, in addition to the more commonly used visualization e.g. via a GUI, graphical user interface, can contribute to an increased human consistency and ease of use. The results (knowledge) derived are in a simple, easily comprehensible linguistic form which can be effectively and efficiently employed for supporting decision makers via the data driven decision support system paradigm. Two new relevant aspects of the analysis are also outlined which was first initiated by the authors. First, following Kacprzyk and Zadrożny [1] comments are given on an extremely relevant aspect of scalability of linguistic summarization of data, using their new concept of a conceptual scalability that is crucial for large applications. Second, following Kacprzyk and Zadrożny [2] it is further considered how linguistic data summarization is closely related to some types of solutions used in natural language generation (NLG), which can make it possible to use more and more effective and efficient tools and techniques developed in this another rapidly developing area. An application of a computer retailer is outlined.

scholarly journals Supporting Decision-Makers: An Expanded Framework

10.28945/2384 ◽  
2001 ◽  
Author(s):  
Daniel Power
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Decision Makers ◽  
Data Driven ◽  
Web Based ◽  
Client Server ◽  
Model Driven ◽  
Mainframe Computer ◽  
External Stakeholders

A conceptual framework for Decision Support Systems (DSS) is developed based on the dominant technology component or driver of decision support, the targeted users, the specific purpose of the system and the primary deployment technology. Five generic categories based on the dominant technology component are proposed, including Communications-Driven, Data-Driven, Document-Driven, Knowledge-Driven, and Model-Driven Decision Support Systems. Each generic DSS can be targeted to internal or external stakeholders. DSS can have specific or very general purposes. Finally, the DSS deployment technology may be a mainframe computer, a client/server LAN, or a Web-Based architecture. The goal in proposing this expanded DSS framework is to help people understand how to integrate, evaluate and select appropriate means for supporting and informing decision-makers.

Web-Based Collaborative Spatial Decision Support Systems

2011 ◽  
pp. 285-315 ◽  
Author(s):  
Songnian Li
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
System Design ◽  
Support Systems ◽  
Spatial Decision Support ◽  
Spatial Decision Support Systems ◽  
Web Based ◽  
Web Technologies ◽  
And Performance ◽  
The Web

The rapidly expanding range of Web technology has made it possible to collaboratively make decisions over the Web. This chapter examines some of these Web technologies important to the development of collaborative spatial decision support systems, and identifies their technology impediments and strengths. The outcomes provide a basis for discussing how the existing collaborative spatial decision support systems may be redesigned to take advantage of new Web technologies, and how new collaborative spatial decision support systems may be designed and developed in this Web-based paradigm. Some discussions on selected design and development issues that are important to the development of collaborative spatial decision support systems including system design, user’s impact, and performance are presented.

Web-based customer decision support systems

1998 ◽  
Vol 41 (3) ◽  
pp. 71-78 ◽  
Author(s):  
Robert M. O'Keefe ◽  
Tim McEachern
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Web Based

Special issue of Decision Support Systems on web-based decision support

2007 ◽  
Vol 43 (4) ◽  
pp. 1081-1082
Author(s):  
Hemant K. Bhargava ◽  
Daniel J. Power ◽  
Daewon Sun
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Special Issue ◽  
Web Based
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