نتایج جستجو برای: multi criterion decision analysis mcda
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Acknowledgements The author is grateful for financial support from the NICE Decision Support Unit (DSU). NICE had no responsibility or control over the content of this paper. This paper aims to look at the applicability of multi criteria decision analysis (MCDA) for health technology assessment. MCDA is aimed at supporting decision makers faced with evaluating alternatives, taking into account ...
Health care decisions are complex and involve confronting trade-offs between multiple, often conflicting, objectives. Using structured, explicit approaches to decisions involving multiple criteria can improve the quality of decision making and a set of techniques, known under the collective heading multiple criteria decision analysis (MCDA), are useful for this purpose. MCDA methods are widely ...
This paper presents a new approach based on Multi-Criteria Decision Analysis (MCDA), named PROMETHEE-SAPEVO-M1, through its implementation and feasibility related to the decision-making process regarding evaluation of helicopters attack Brazilian Navy. The proposed methodology aims present an integration ordinal into cardinal procedure from PROMETHEE method, enabling perform qualitative quantit...
This paper presents an application of the integration between Geographical Information Systems (GIS) and Multi-Criteria Decision Analysis (MCDA) to aid spatial decisions. We present a hypothetical case study to illustrate the GIS–MCDA integration: the selection of the best municipal district of Rio de Janeiro State, Brazil, in relation to the quality of urban life. The best municipal district i...
Over the past decades the complexity of financial decisions has increased rapidly, thus highlighting the importance of developing and implementing sophisticated and efficient quantitative analysis techniques for supporting and aiding financial decision making. Multi-criteria decision aid (MCDA), an advanced field of operations research, provides financial decision makers (DMs) and analysts a wi...
Bayesian Belief Nets (BBNs) have proven to be an extremely powerful technique for reasoning under uncertainty. We have used them in a range of real applications concerned with predicting properties of critical systems. In most of these applications we are interested in a single attribute of the system such as safety or reliability. Although such BBNs provide important support for decision makin...
Multi-criteria decision analysis (MCDA) has been one of the fastest-growing areas of operations research during the last decades. The academic attention devoted to MCDA motivated the development of a great variety of approaches and methods within the field. These methods distinguish themselves in terms of procedures, theoretical assumptions and type of decision addressed. This diversity poses c...
Multi-criteria decision analysis (MCDA), one of the prevalent branches of operations research, aims to design mathematical and computational tools for selecting the best alternative among several choices with respect to specific criteria. In the cloud, MCDA based online brokers uses customer specified criteria to rank different service providers. However, subjected to limited domain knowledge, ...
Transferring DEXi Qualitative Decision Models into Decision Deck Platform through the XMCDA Standard
DEXi is an educational Multi Criteria Decision Aid (MCDA) computer program aimed at interactive development of qualitative multi-criteria and hierarchical decision models and the evaluation of options. XMCDA is an emerging data standard which enables the representation of Multi Criteria Decision Aid data elements in XML according to a clearly defined grammar. In this paper we investigate the me...
DEX is a qualitative multi-criteria decision analysis (MCDA) method, aimed at supporting decision makers in evaluating and choosing decision alternatives. We present results of a preliminary study in which we experimentally assessed the performance of two wellknown MCDA methods UTA and ACUTA to approximate qualitative DEX utility functions with piecewise-linear marginal utility functions. This ...
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