Decision-Making Support Systems

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.

Decision support system (DSS) for facilities rehabilitation and management (part 2): development of optimized intervention strategy

“…Decision support systems (DSS) are defined as systems designed to receive information for the purpose of supporting the process of decision-making through interactive communication. Their control can be done by individuals or formulated groups (Forgionne et al , 2011). They were first initiated in the 1970s to provide assistance for decision makers with semi-structured and unstructured problems in computerized platforms (Mysiak et al , 2005).…”

“…For instance, a PAM would allow an inspector to evaluate the condition of a facility. Approaches like AHP, MAUT, Fuzzy Logic, Linear programming and other systems are increasingly integrated to build frameworks of DSS; they have showed reliability when it comes to PAMs generation (Golden et al , 1989; Saaty and Vargas, 2001; Forgionne et al , 2003a; Turban et al , 2005; Burstein and Holsapple, 2008a, 2008b; Kassab et al , 2008; Qasem, 2011; Devlin, 2012; Ploskas et al , 2014). AHP helps prioritizing the sub-components of an asset in a structured technique and is referred to as the ideal engineering decision support method (Ullman, 2002), whenever there’s a lack of information and historical data that enables the application of regression analysis, artificial neural networks or any other decision support techniques (Forman, 2001; Saaty and Vargas, 2001; Koç and Burhan, 2015).…”

“…There's, however, a scarcity of firm scientific criteria in place to collectively assess mosque performance, inclusive of all components, to be able prioritize them, identifying which cases are the most critical to be attended first on the maintenance schedule as stated by Ministry of Islamic Affairs (2008) Decision support systems (DSS) are defined as systems designed to receive information for the purpose of supporting the process of decision-making through interactive communication. Their control can be done by individuals or formulated groups (Forgionne et al, 2011). They were first initiated in the 1970s to provide assistance for decision makers with semi-structured and unstructured problems in computerized platforms (Mysiak et al, 2005).…”