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

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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Tác giả chính:	Rivera Zarate, Gilberto
Tác giả khác:	Eduardo, Fernández, Laura, Cruz Reyes, Rafael Alejandro, Espin Andrade, Claudia G., Gómez Santillán, Nelson, Rangel Valdez
Định dạng:	Artículo
Ngôn ngữ:	en_US
Được phát hành:	2024
Những chủ đề:	Many-objective optimization Interactive approach Fuzzy optimization Progressive preference articulation Swarm intelligence info:eu-repo/classification/cti/7
Truy cập trực tuyến:	https://doi.org/10.1016/j.knosys.2024.112524 https://www.sciencedirect.com/science/article/abs/pii/S0950705124011584?via%3Dihub
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