NAIADE
Updated 2026-08-11
INTRODUCTION
English translation pending.
CORE DEFINITION
Novel Approach to Imprecise Assessment and Decision Environments (NAIADE) is a multi-criteria evaluation method designed for situations where information is imprecise and stakeholders disagree. Criteria values may be expressed as intervals or fuzzy numbers rather than point estimates, which represents uncertainty without forcing false precision. Each stakeholder group supplies its own preferences and weights, and a conflict analysis then characterizes how far apart the groups' positions are, producing a profile of each alternative's performance across viewpoints rather than a single ranking. The method's purpose is to make disagreement visible and identify options multiple parties could accept.
SCAFFOLDING EFFECT
Reduce cognitive load
- Use interval input: express criterion values as ranges when point estimates would be false precision. - Use viewpoint separation: run the evaluation once per stakeholder group rather than merging preferences early. - Use conflict mapping: read the disagreement profile to find options acceptable across groups.
Anchor fast decisions
Forcing a single ranking in a contested decision requires merging preferences that are not comparable, which hides rather than resolves the disagreement. Allowing imprecise inputs preserves what is actually known without inventing precision, and computing results per viewpoint keeps each group's logic intact. The conflict analysis then measures the distance between positions, which identifies where agreement is possible and where it is not. The output is a set of options that survive multiple perspectives, which is often more useful than a winner half the parties reject.
MINIMUM ACTION
In progress 0/1Practice this model in one real situation:
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Source support: Explicit
- doi.orghttps://doi.org/10.1007/978-3-642-49997-5_7verified
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