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Potentially all pairwise rankings of all possible alternatives
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Potentially all pairwise rankings of all possible alternatives : ウィキペディア英語版
Potentially all pairwise rankings of all possible alternatives

Potentially all pairwise rankings of all possible alternatives (PAPRIKA) is a method for multi-criteria decision making (MCDM) or conjoint analysis based on decision-makers’ preferences as expressed using pairwise rankings of alternatives.
The PAPRIKA method – implemented via decision-making software known as 1000Minds – is used to calculate point values (or ‘weights’) on the criteria or attributes for decision problems involving ranking, prioritising or choosing between alternatives. Point values represent the relative importance of the criteria or attributes to decision-makers.
As well as representing decision-makers’ preferences, the point values are used to rank alternatives, enabling decision-makers to prioritise or choose between them (perhaps subject to a budget constraint). Examples of applications of the PAPRIKA method appear in the next section.
==Applications==
Applications of the PAPRIKA method in the area of health decision-making include:
*Prioritising patients for access to elective (non-urgent) surgery and rheumatology in New Zealand and Canada
*Referring patients for nephrology, geriatrics and gastroenterology services in Canada
*Identifying criteria for diagnosing and classifying rheumatoid arthritis systemic sclerosis and gout
*Measuring patient responses in clinical trials for chronic gout
*Health technology prioritisation
*Deriving tests of physical function for patients following hip or knee replacement
*Developing key educational messages for people with osteoarthritis
Applications in other areas include:
*Corporate strategic management
*Revealing central bankers’ monetary-policy preferences over inflation and GDP volatility, interest rates and exchange rates〔Smith, C (2009), ("Revealing monetary policy preferences" ), ''Reserve Bank of New Zealand Discussion Paper Series'', DP2009/01;〕
*Exploring citizens’ preferences about the design of New Zealand retirement income policies
*Urban planning
*Discovering agronomists’ preferred grass breeding traits for pasture plant species
*Identifying the most profitable breeds of sheep and dairy cows for farmers to produce
*Incorporating climate change and mitigation information into environmental resources management for the ocean
*Revealing the public's preferences over competing uses of near-shore marine areas, including marine protected areas
*Selecting endangered plant species for conservation restoration
*Creating a framework for ethical ecology research
*Evaluating decision-making software
*Helping people choose energy-efficiency improvements for their homes
*Researching what matters to people when donating money to countries in need of aid
*Marketing research for fruit juice

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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