Many approaches have been suggested for the evaluation of decision support systems (DSS). Most attempt to produce a single evaluation measure, usually based on the opinions of a single group. As DSS development and use can involve a large number of different people, this approach may be deficient. We propose a framework that takes into account multiple groups or constituencies within the evalua...

M decision support systems (DSS) improve performance in many contexts that are data-rich, uncertain, and require repetitive decisions. But such DSS are often not designed to help users understand and internalize the underlying factors driving DSS recommendations. Users then feel uncertain about DSS recommendations, leading them to possibly avoid using the system. We argue that a DSS must be des...

A bstract Today managers and policy makers are confronted with an overwhelming range of choices of computer software to develop decision support systems (DSS). The authors argue that DSS language evaluation and selection should be a multi-step process involving most, if not all, of the following: The objectives of each of these activities are described , as well as specific procedures for accom...

This paper presents preliminary results of a multi-criteria analysis (MCA) process in GIS environment for the identifications of sites suitable for building biomass plants. Today, environmental assessment needs of Decision Support Systems (DSSs) able to consider several aspects in a unique analysis framework. Biomass to energy projects are highly geographically dependent and the plant’s profita...

In this paper we present a software system for decision support (DSS – Decision Support System) aimed at forecasting high demand of admission on health care structures due to environmental pollution. The algorithmic kernel of the system is based on machine learning, the software architecture is such that both persistent and sensor data are integrated through a data integration infrastructure. G...

Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is an algorithm that can be used alternative design in a decision support system (DSS). TOPSIS provides recommendation so users get information their decision, example tourist wants visit destination Malang, then recommendations destinations the form ranking recommendation, with highest rank most recommended recommendati...

Nowadays, the evolution of information technology applications makes it an absolute obligation on behalf of the decision makers to continuously make the best decisions in the shortest possible time. Decision Support System (DSS) is a technology and application that assists managerial decision makers utilizing data and models to solve semi-structured and unstructured problems (Qian et al., 2004)...

A decision support system (DSS) is developed to help managers select the most appropriate sequences of plans for product research and development (R&D) projects that have strict constraints on budget, time, and resources. The primary objective of the DSS is to provide an optimal combination of R&D projects. The DSS consists of several subsystems, each of which has a specific function. At the co...

Crime prevention is the initiation and attempting to reduce, deter or remove crime and criminals. It includes the anticipation, recognition, and appraisal of making the right decision in crime risk. The decision support system (DSS) framework for decision making process has been developed to assist the decision makers. This research work is one of the efforts in crime prevention. The proposed f...

Decision support systems (DSS) have been extensively used in the management of natural resources for nearly two decades. However, practical difficulties with the application of DSS in real-world situations have become increasingly apparent. Complexities of decision making, encountered in the context of ecosystem management, are equally present in sustainable forestry. Various writers have criti...