Aiding decision makers in articulating a preference closeness model through compensatory fuzzy logic for many-objective optimization problems

One of the main challenges in applying preference-based approaches to many-objective optimization problems is that decision makers (DMs) initially have only a vague notion of the solution they want and can obtain. In this paper, we propose an interactive approach that aids DMs in articulating a pref...

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主要作者: Rivera Zarate, Gilberto
其他作者: Eduardo, Fernández, Laura, Cruz Reyes, Rafael Alejandro, Espin Andrade, Claudia G., Gómez Santillán, Nelson, Rangel Valdez
格式: Artículo
語言:en_US
出版: 2024
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在線閱讀:https://doi.org/10.1016/j.knosys.2024.112524
https://www.sciencedirect.com/science/article/abs/pii/S0950705124011584?via%3Dihub
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