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 ...

[Context and motivation]: Goal-Oriented Requirements Engineering (GORE) and Multi Criteria Decision Analysis (MCDA) are two fields that naturally complement each other for providing decision support. Particularly, GORE techniques complement MCDA in terms of problem structuration and visualization of alternative evaluation, and MCDA techniques complement GORE in terms of alternative elimination ...

BACKGROUND The objective of this study was to assess the potential impact of the implementation of multiple-criteria decision analysis (MCDA) on the Polish pricing and reimbursement (P&R) process with regard to orphan drugs. METHODS A four step approach was designed. Firstly, a systematic literature review was conducted to select the MCDA criteria. Secondly, a database of orphan drugs was est...

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 ...

Based on the recent development of two dimensional `1 major component detection and analysis (`1 MCDA), we develop a scalable `1 MCDA in the n-dimensional space to identify the major directions of star-shaped heavy-tailed statistical distributions with irregularly positioned “spokes” and “clutters”. In order to achieve robustness and efficiency, the proposed `1 MCDA in n-dimensional space adopt...

OBJECTIVES Multicriteria decision analysis (MCDA) has been suggested by some researchers as a method to capture the benefits beyond quality adjusted life-years in a transparent and consistent manner. The objectives of this article were to analyze the possible application of MCDA approaches in health technology assessment and to describe their relative advantages and disadvantages. METHODS Thi...

Up to recently, the analysis of a decision problem via numerous Multiple Criteria Decision Aid (mcda) algorithms required to use various data formats. This lack of a unified standard for their input and output data has probably contributed to the poor adoption of mcda software by users. This chapter presents XMCDA, an initiative of the Decision Deck project, which is a unified data model enabli...

his chapter first introduces the main issues of multi-criteria decision analysis (MCDA). his involves discussion on some well-known MCDA methods. Next it describes some anking irregularities when some MCDA methods are used. Ranking irregularities occur hen certain manipulations on the structure of a simple MCDA problem are performed. hough a plethora of MCDA methods have been proposed to analyz...

A promising approach to environmental assessment and decision making analyses is based on integrating Multicriteria Decision Analysis (MCDA) and GIS tools. Integration of GIS and MCDA tools can be potentially achieved through interoperability, where these tools can exchange relevant information to tackle a particular environmental problem. However, the problem of semantic heterogeneity caused b...

Up to recently, the processing of a decision problem via several Multiple Criteria Decision Aid (MCDA) programs required to write the data in various formats. This chapter presents XMCDA, an initiative of the Decision Deck Consortium, which is a standard data model enabling to encode classical concepts from MCDA in XML. Among other things, it eases the analysis of a problem instance by various ...