A novel robustness PROMETHEE method by learning interactive criteria and historical information for blockchain technology-enhanced supplier selection-Reference-Cited by-同舟云学术

A novel robustness PROMETHEE method by learning interactive criteria and historical information for blockchain technology-enhanced supplier selection

Published:2024-01 Issue: Volume:235 Page:121107
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Liang Decui^ORCID,Fu Yuanyuan,Garg Harish^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference66 articles.

1. GAIA-SMAA-PROMETHEE for a hierarchy of interacting criteria;Arcidiacono;European Journal of Operational Research,2018

2. Selection of suppliers using Bayesian estimators: a case of concrete ring suppliers to eurasia tunnel of Turkey;Arioglu;International Journal of Production Research,2020

3. Generalized choquet fuzzy integral fusion;Auephanwiriyakul;Information Fusion,2002

4. OM forum-distributed ledgers and operations: What operations management researchers should know about blockchain technology;Babich;Manufacturing & Service Operations Management,2020

5. Bai, C. G., & Sarkis, J. (2019). A supply chain transparency and sustainability technology appraisal model for blockchain technology. In Academy of Management Annual Meeting Proceedings. Vol. 1 (pp. 1–2).

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