scholarly journals On the use of the Choquet integral with fuzzy numbers in multiple criteria decision support

2006 ◽  
Vol 157 (7) ◽  
pp. 927-938 ◽  
Author(s):  
Patrick Meyer ◽  
Marc Roubens
2008 ◽  
Vol 3 (3) ◽  
Author(s):  
M. B. Fernandes ◽  
M. C. Almeida ◽  
A. G. Henriques

Desalination technologies provide an alternative for potable water production, having significant potential for application where fresh water scarcity exists. Potential benefits have to be balanced with other factors, such as high costs, high energy consumption, and significant environmental impacts, for the understanding of real risks and gains of desalination within the context of integrated water resources management. Multiple factors can be considered when analysing the viability of a desalination project but often a limited approach is used. The complexity in the analysis lies in finding the alternatives that obey to multiple objectives (e.g. reduced environmental impact, social acceptance, less cost associated). In this paper, development of a methodology based on multiple criteria decision support system for the evaluation and ranking the potential of desalination technologies is described and applied to a Portuguese case study. Relevant factors to the selection of desalination technologies were identified using SWOT analysis and the MACBETH (Measuring Attractiveness by a Categorical Based Evaluation Technique) approach was applied. Technical alternatives considered include reverse osmosis and multi-effect desalination (MED), together with energy production by fossil fuels or solar energy. Production of water by conventional approaches was also considered. Results, for non-economic benefits, show higher score for MED solar but, in the cost-benefit analysis, conventional methods of water production have higher ranking since costs of renewable energies are not yet competitive. However, even if not preferred in economic terms, desalination is ranked significantly above the conventional approaches for non-economic criteria.


Author(s):  
Abdul Haris Rangkuti

Decision making at every company is something very important and vital. Decision making can be influenced by several aspects, so it can affect the promptness and accuracy of the process, especially when solving any complex, dynamic and less structured problems. Therefore, the combination of multiple criteria concept and an application program of decision-support system is an effective way to generate alternative decisions. The methods used for multiple criteria are: Bayes method, MPE, CPI and the AHP. This article discusses the use of each method, adapted to each problem. The four methods happen to be very effective with the help of the application program of decision support system. Expectantly these methods are able to assist company managements in decision-making. 


2004 ◽  
Vol 10 (2) ◽  
pp. 57-66 ◽  
Author(s):  
Nerija Banaitiene ◽  
Zenonas Turskis

This paper presents a multiple criteria decision model for the life cycle of single family houses analysis based on a decision support system. Methods of multiple criteria analysis are applied for a complex analysis of the single‐family houses life cycle as well as for the evaluation of decisions. The method of multivariant design is applied for making variants of the life cycle of single‐family houses. The multivariant design and multiple criteria evaluation of a building life cycle allow the interested parties (client, contractor, user, etc.) to make efficient decisions on the ground of a quantitative and qualitative variants analysis. The decision maker's attitude can be reflected in the analysis process by the weighting of criteria. The proposed methodology provides a useful tool for building life cycle evaluation. Having applied the information gathered in the database, using the models of a model base, various interested parties of a building life cycle are able to make effective decisions. The system provides a user with all the necessary support required for decision making: in information terms the receipt of quantitative and conceptual information describing a building life cycle, gathering and use thereof, in terms of evaluation the analysis of such information applying the methods of a multiple criteria analysis.


1991 ◽  
pp. 191-204
Author(s):  
J. Clímaco ◽  
C. H. Antunes ◽  
J. P. Costa ◽  
A. G. Martins ◽  
A. T. Almeida

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