Increased greenhouse gas emissions, resulting from our heavy dependence upon fossil fuels, have been found to be directly related to global warming. During the past 250 years, the average carbon dioxide (CO2) concentration in the atmosphere has increased from about 280 to 385 ppm with approximately two thirds of this increase occurring in last 60 years. Global warming may lead to adverse condit...

Available online 6 October 2008

Emerging technologies and business models require organisations to continuously deal with complex, dynamic and unstructured issues, leading to the need for newer forms of decision support systems (DSS). However, in emerging environments the existing knowledge base can be scattered, unstructured, and sometimes conflicting, which challenges any efforts in designing DSS. This paper highlights the ...

We developed a systematic algorithmic solution for quantitative drug sensitivity scoring (DSS), based on continuous modeling and integration of multiple dose-response relationships in high-throughput compound testing studies. Mathematical model estimation and continuous interpolation makes the scoring approach robust against sources of technical variability and widely applicable to various expe...

The development cycle of a decision support system involves many resources, time and high cost and above all, the database schema used in the system is built only for some specific tasks. So, a relational database schema or a data warehouse prototype cannot be easily mapped and reused in multiple DSS projects. In this paper we propose an object-oriented (OO) approach and an OO database schema t...

The correct management of coastal lagoon areas with anthropic exploitation is a difficult task for local authorities. Socio-economic interests and environment preservation are typically contrasting objectives between which a suitable trade-off must be achieved. The solution of this problem requires the development of interdisciplinary and multicriteria approaches. Motivated by future applicatio...

Internet facilitates easy access to data, information, and knowledge sources available online. This provides an unprecedented opportunity to empower decision support systems with capabilities of directly accessing problem environment and implementing decisions while effectively combining higher degree of automation with human judgment. The central argument of this work is that in dynamic electr...

This paper contributes to solve effectively stochastic resource allocation problems known to be NP-Complete. To address this complex resource management problem the Labeled Real-Time Dynamic Programming (lrtdp) approaches is applied in an effective way. lrtdp concentrates the planning on significant states of the environment only, as the search is guided by an initial heuristic. As demonstrated...

This paper describes an expert system (ES) based decision support system (DSS), which aids the user to select feasible projects among a strategic portfolio supplied by a dynamic simulator (DS). The ES incorporates the ALTMAN model for predicting financial distress. This model is utilized for aiding the user to find the most feasible values for the financialeconomic parameters, managing the proj...

This paper describes the development of a decision support system (DSS) for evaluating membrane restoration strategy. The engine DSS is digital twin (DT), virtual representation wear (degradation) and elements in reverse osmosis (RO) pressure vessel. basis DT mathematical model that an RO vessel as novel multi-component which wear-states individual (components) are quantified can be swapped or ...