Group decision support for public policy planning

Abstract

Decision support often focuses on substantive rationality (what to choose). The procedural rationality (how to choose) of the process of long-term strategic decision making is then often neglected. In strategic decision making, supporting the decision process is more important than supporting the search for an ''optimal'' solution to the problem, especially since for most policy problems a well-defined objective function does not exist. Such a problem occurs in setting the energy policy for the Indonesian island of Java. Indonesia wants to introduce natural gas into the fuel mix. Ways to support this decision making process with the existing level of IT were analyzed. Because the government of a developing country has very small funds to invest, a specialized group decision support system (GDSS) was designed to allow for long-term support. Its restrictions are discussed here. #

Information Capacity Database in the Rating Model on the Basis of Polish and Italian Real Estate Markets

“…Many decision support systems for the analysis of real estate have been developed worldwide: BIM-based decision-support system for master planning of sustainable largescale developments (KIM et al 2015), geographic information systems, i.e. a GISbased decision support tool to quantitatively assess land-use suitability (WANG et al 2013), a decisionmaking model in progress management of urban development (LI et al 2009), multi-criteria decision aids for the management of complex knowledge in planning for sustainable development (KAIN, SÖDERBERG 2008), group decision support for public policy planning (GROENENDAAL 2003), or public participation in a spatial decision support system for public housing (BARTON et al 2005). Moreover, KAKLAUSKAS et al (2015) claim that decision support system should comprise of the following four major constituent parts: data (database and its management system), models (model base and its management system), a user interface, and a message management system.…”

“…As the drawbacks, the aforementioned authors indicate greater computational complexity. The embedded methods are a group of algorithms that utilize certain characteristics of learning algorithms and perform automated selection at the learning (training) stage of the decision algorithm (DEVIJVER and KITTLER 1982). The advantages of these methods include speed and accuracy (NAVIN et al 2005); they are designed for a specific algorithm.…”

A Review on Optimization Modeling of Energy Systems Planning and GHG Emission Mitigation under Uncertainty

“…As an effective decision-support tool for energy systems planning, a set of computerized decision-support software was developed by Rylatt et al [288]. A specialized group DSS was designed by van Groenendaal for providing long-term support related to energy policy formulation on the island of Java, Indonesia [289]. Freppaz et al proposed a DSS for supporting forest biomass exploitation and renewable energy production [290].…”

Supporting dynamic group decision and negotiation processes: A traceability augmented peer-to-peer network approach

“…They have been successfully applied in fields such as software quality inspections [17], strategic planning [15], public policy planning [36], etc.…”