Miłosz Kadziński

Poznan University of Technology

Poland

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Articles (21)

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2025

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2022

Collaborators (6)

Marco Cinelli

Assistant Professor

Leiden University

NETHERLANDS

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Kalyanmoy Deb

Koenig Endowed Chair Professor

Michigan State University

UNITED STATES

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Grzegorz Miebs

Poznan University of Technology

POLAND

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Weronika Mrozek

Poznan University of Technology

POLAND

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Luis Dias

Full Professor

University of Coimbra

PORTUGAL

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Mohammad Ghaderi

Assistant Professor

Universitat Pompeu Fabra

SPAIN

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Miłosz Kadziński

Research Interests

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Articles (21)

From investigation of expressiveness and robustness to a comprehensive value-based framework for multiple criteria sorting problems

Fifty years of multi-objective optimization and decision-making: From mathematical programming to evolutionary computation

Ordinal regression meets online learning: Interactive preference learning for multiple criteria choice and ranking with provable guarantees

A Probabilistic preference learning approach for multiple criteria ranking in dynamic decision context

Data-driven preference learning methods for sorting problems with multiple temporal criteria

Robustness analysis for imprecise additive value efficiency analysis with an application to evaluation of special economic zones in Poland

A multiple criteria Bayesian hierarchical model for analyzing heterogeneous consumer preferences

Outranking-based approaches for multiple criteria partially ordered clustering: A review of existing algorithms, new proposals, and experimental comparison

robustDEA: A Java library for robust efficiency analysis

Attaining robust performance targets in data envelopment analysis with application to efficiency evaluation of airports

Beyond the Arbitrariness of Drug-Likeness Rules: Rough Set Theory and Decision Rules in the Service of Drug Design

Performance evaluation of emergency department physicians using robust value‐based additive efficiency model

Probabilistic ordinal regression methods for multiple criteria sorting admitting certain and uncertain preferences

Selection of a representative sorting model in a preference disaggregation setting: A review of existing procedures, new proposals, and experimental comparison

An active preference learning approach to aid the selection of validators in blockchain environments

Modeling Contingent Decision Behavior: A Bayesian Nonparametric Preference-Learning Approach

Robust Additive Value-Based Efficiency Analysis with a Hierarchical Structure of Inputs and Outputs

Deep preference learning for multiple criteria decision analysis

Exact and stochastic methods for robustness analysis in the context of Imprecise Data Envelopment Analysis

Review and experimental comparison of ranking and choice procedures for constructing a univocal recommendation in a preference disaggregation setting

Recommending multiple criteria decision analysis methods with a new taxonomy-based decision support system

Collaborators (6)

Marco Cinelli

Kalyanmoy Deb

Grzegorz Miebs

Weronika Mrozek

Luis Dias

Mohammad Ghaderi

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