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 ...

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...

in the future, competitive advantages will be given to organisations that can extract valuable information from massive data and make better decisions. in most cases, this data comes from multiple sources. therefore, the challenge is to aggregate them into a common framework in order to make them meaningful and useful.this paper will first review the most important multi-criteria decision analy...

[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 ...

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...

This paper is concerned with the following question: How to choose among Multi-Criteria Decision Aid (MCDA) methods to solve dynamic decision making problems under uncertainty? To address this question, a methodology has been proposed, which is based on a characterization of the MCDA methods. The MCDA methods are characterized according to 1) sufficient conditions that allow their use to solve ...

Various software tools implementing Multiple Criteria Decision Analysis (MCDA) methods have appeared over the last decades. Although MCDA methods share common features, most of the implementing software have been developed independently from scratch. Majority of the tools have a proprietary storage format and exchanging data among software is cumbersome. Common data exchange standard would be u...

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...

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...

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...