Linked from

The 19 pages that link to Preference relation, each with the reason it gives.

• UtilityNarrower topic: Utility represents these rankings by assigning numbers to outcomes.

• Decision theoryRelated: Preferences determine which outcomes count as better for a decision-maker.

• Social choice theoryBroader topic: Individual rankings are the inputs that aggregation rules combine.

• Expected utilityRelated: Expected utility represents preferences over risky alternatives with numerical scores.

• Utility functionRelated: It gives the pairwise comparisons that a utility representation must preserve.

• Arrow's impossibility theoremNarrower topic: Arrow's conditions constrain how individual preference relations combine into a social one.

• Revealed preferenceNarrower topic: Revealed-preference analysis aims to infer this latent ordering from choices.

• Ordinal utilityNarrower topic: Ordinal utility encodes this ranking rather than measuring satisfaction.

• Consumer choiceNarrower topic: Consumer models need an ordering to compare possible bundles.

• Stable marriage problemRelated: Each participant’s ranking determines whether a pair can block a matching.

• Stable matchingNarrower topic: Stability depends on comparing each participant’s assigned partner with potential alternatives.

• Condorcet paradoxNarrower topic: The paradox concerns how individual and collective preference relations differ.

• Voting paradoxRelated: Paradoxical collective rankings arise from aggregating such individual comparisons.

• Gibbard–Satterthwaite theoremNarrower topic: Voters' preference relations are the inputs whose reports the theorem constrains.

• Von Neumann–Morgenstern utility theoremNarrower topic: The theorem begins with a ranking of lotteries and imposes axioms on that ranking.

• Connected relationRelated: Connectedness models complete comparison between distinct alternatives.

• Liberal paradoxRelated: The theorem compares individual rankings with the social ranking they jointly determine.

• Rational choice modelBroader topic: It formalizes the rankings the model seeks to maximize.

• Stable matching problemBroader topic: The participants’ rankings determine which pairs would block a matching.