A novel fuzzy scenario-based stochastic general best-worst method-Reference-Cited by-同舟云学术

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A novel fuzzy scenario-based stochastic general best-worst method

Published:2024-10 Issue: Volume:252 Page:124246
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Tavana Madjid^ORCID,Sorooshian Shahryar^ORCID,Rezaei Homa,Mina Hassan

Publisher

Elsevier BV

Reference39 articles.

1. ZBWM: The Z-number extension of Best Worst Method and its application for supplier development;Aboutorab;Expert Systems with Applications,2018

2. Decarbonize Russia—A Best-Worst Method approach for assessing the renewable energy potentials, opportunities and challenges;Agyekum;Energy Reports,2021

3. A dynamic decision support system for sustainable supplier selection in circular economy;Alavi;Sustainable Production and Consumption,2021

4. On the effect of subjective, objective and combinative weighting in multiple criteria decision making: A case study on impact optimization of composites;Alemi-Ardakani;Expert Systems with Applications,2016

5. Integrated GIS-AHP-based approach for off-river pumped hydro energy storage site selection;Ali;Applied Energy,2023

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A comparative analysis of metaheuristic algorithms in interval-valued sustainable economic production quantity inventory models using center-radius optimization;Decision Analytics Journal;2024-09

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