A computer-based system composed of a user-dialog system, an inference engine, one or several intelligent modules, a knowledge base and a work memory, which emulates the problem-solving capabilities of a human expert in a specific domain of knowledge.
Published in Chapter:
Decision-Making Support Systems
Guisseppi Forgionne (University of Maryland, Baltimore County, USA), Manuel Mora (Autonomous University of Aguascalientes, Mexico), Jatinder N.D. Gupta (University of Alabama-Huntsville, USA), and Ovsei Gelman (National Autonomous University of Mexico, Mexico)
Copyright: © 2009
|Pages: 7
DOI: 10.4018/978-1-60566-026-4.ch156
Abstract
Decision-making support systems (DMSS) are computerbased information systems designed to support some or all phases of the decision-making process (Forgionne, Mora, Cervantes, & Kohli, 2000). There are decision support systems (DSS), executive information systems (EIS), and expert systems/knowledge-based systems (ES/KBS). Individual EIS, DSS, and ES/KBS, or pair-integrated combinations of these systems, have yielded substantial benefits in practice. DMSS evolution has presented unique challenges and opportunities for information system professionals. To gain further insights about the DMSS field, the original version of this article presented expert views regarding achievements, challenges, and opportunities, and examined the implications for research and practice (Forgionne, Mora, Gupta, & Gelman, 2005). This article updates the original version by offering recent research findings on the emerging area of intelligent decision-making support systems (IDMSS). The title has been changed to reflect the new content.