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Author

Deepanshu Yadav

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Open access Aug 2026

A Machine-based Decision-maker Toward Benchmarking Interactive Multi-criterion Decision-making Procedures

This paper proposes a machine-based decision-maker (Machine-DM) in terms of pre-trained machine learning (ML) models to provide decision-making information and describes the development process in detail and demonstrates its working through a specific iMCDM procedure – NIMBUS.

Deepanshu Yadav, Kalyanmoy Deb · 0 citations
Book Open access Jul 2026

pMachine-DM: A Stochastic Machine Learning-Based Decision-Maker for Interactive Multi-Criterion Decision-Making

This paper proposes a stochastic machine learning-based decision-maker: pMachine-DM, which emulates human preference articulation using two stochastic ANNs, enabling systematic and reproducible benchmarking without involving human DMs.

Deepanshu Yadav, Kalyanmoy Deb · 1 citation
Book Open access Jul 2026

Benchmarking Interactive Multi-Criterion Decision-Making Procedures Following Machine Learning-Based Decision-Maker: Benchmarking Interactive MCDM Procedures

A Machine-based Decision Maker that replaces human DMs with pre-trained machine learning models capable of performing the key iMCDM tasks automatically and a Bench-iMCDM framework for benchmarking iMCDM procedures is proposed.

Deepanshu Yadav, Kalyanmoy Deb · 2 citations

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