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New procedure for eliciting parameters of multi-criteria sorting models developed

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a new procedure for eliciting parameters for the Non-Compensatory Sorting model (NCS), a type of multi-criteria decision aiding model. The proposed method focuses on direct elicitation techniques, including questioning algorithms based on graph exploration for identifying sufficient coalitions of criteria and a dichotomy-based algorithm for determining the profile that separates two categories. The study also compares the generality of NCS with MR-Sort, a specific instance of NCS where coalitions are represented by additive weights. AI

IMPACT This research could lead to more refined decision-making tools in complex scenarios.

RANK_REASON The cluster contains an academic paper detailing a new method for a specific type of decision-making model. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.AI →

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New procedure for eliciting parameters of multi-criteria sorting models developed

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The cluster contains an academic paper detailing a new method for a specific type of decision-making model. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Eda Ersek Uyanik ·

    Elicitation of the parameters of a multi-criteria sorting model

    arXiv:2611.13062v1 Announce Type: new Abstract: Multiple-criteria decision aiding (MCDA) proposes models and methods for different types of decision problems such as choice, ranking or sorting. Such models involve various parameters that must be elicited. In the elicitation proce…

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