GMAA: A DSS Based on the Decision Analysis Methodology - Application Survey and Further Developments

This article describes the research of the applicability of using the local importance of criteria in multi-criteria optimization problems. The theory of the global qualitative importance of criteria is currently well developed, there are many works on this topic. Moreover, numerous computer decision support systems (DSS) using global importance exist. However, the local importance of criteria is investigated very weak - there is no even mathematical definition for it. Authors have not been able to find in the public domain optimization algorithms and DSS using local importance. The authors start by formulating a mathematical definition for local criteria importance by adding specific limitations to the existing definition for global criteria importance. The next step is creating an iterative optimization algorithm that works with local importance criteria too. However, it is needed to check the applicability of this algorithm that is why authors create a DSS that realizes it. After a series of experiments, the authors conclude that the algorithm is applicable for real optimization problems.

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A hybrid Decision Support System for Generation of Holistic Renovation Scenarios—Cases of Energy Consumption, Investment Cost, and Thermal Indoor Comfort

Kamari

Jensen

Christensen

et al. 2018

Sustainability

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Future building renovations must rely on a holistic perspective in relation to sustainability. This paper presents a Decision Support Systems (DSS) that can be used by architects and engineering consultants to generate and evaluate the sustainability of renovation scenarios in a holistic manner during the early design stage of renovation projects. Firstly, this paper discusses both the notion of a sustainable renovation, together with various renovation approaches, towards the appreciation of the developing DSS for the generation of holistic scenarios. Secondly, it provides details about the mechanism and types of Multiple Criteria Decision Making methods to be exploited in the main body of the DSS. As such, a hybrid approach including a search algorithm with the Genetic Algorithm is used to combine and develop countless optimal scenarios. The performance of the generated scenarios is simulated and evaluated in terms criteria for Energy Consumption, Investment Cost, and Thermal Indoor Comfort. The trade-off between the criteria is addressed using the Pareto-front approach, and subsequently, the optimal scenarios are determined and selected using MCDM-based rating methods. The outcome is verified discussing a case study about an actual [recently] renovated dwelling and the top ranked generated scenarios using the DSS in this paper.

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GMAA: A DSS Based on the Decision Analysis Methodology - Application Survey and Further Developments

Cited by 3 publications

References 70 publications

Method of Iterative-Order Optimization of Multicriteria Problems Using the Local Importance of Criteria

Method of Iterative-Order Optimization of Multicriteria Problems Using the Local Importance of Criteria

Multi-criteria optimization using local qualitative importance of criteria

A hybrid Decision Support System for Generation of Holistic Renovation Scenarios—Cases of Energy Consumption, Investment Cost, and Thermal Indoor Comfort

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