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Alcantud, José Carlos R. Santos-García, Gustavo Akram, Muhammad 2024-09-05T10:42:09Z 2024-09-05T10:42:09Z 2022 Alcantud, J. C. R., Santos-García, G., & Akram, M. (2022). OWA aggregation operators and multi-agent decisions with N -soft sets. Expert Systems with Applications, 203, 117430. https://doi.org/10.1016/j.eswa.2022.117430 0957-4174 http://hdl.handle.net/10366/159457 10.1016/j.eswa.2022.117430 [EN] This work improves the theoretical basis of 𝑁-soft sets and insists on their practical applications in a multiagent context. 𝑁-soft sets characterize the alternatives in terms of multinary descriptions by attributes. We argue that unlike the basic example of soft set theory, 𝑁-soft sets are amenable to various interesting approaches in relation to aggregation. However the literature has not provided mechanisms for the aggregation of 𝑁-soft sets. And there exists no multi-agent decision making procedure based on 𝑁-soft sets either. Therefore, the goal of this work is twofold. We present a novel theory of aggregation of 𝑁-soft sets. The fundamental tools for this purpose are OWA operators. We produce the first scores of alternatives defined by multi-agent, multinary evaluations. Then we apply this theory to multi-agent decision-making. In this way we produce the first algorithms for multi-agent decisions based on 𝑁-soft sets. We support our findings with real examples that illustrate the application and versatility of these flexible approaches. Publicación en abierto financiada por la Universidad de Salamanca como participante en el Acuerdo Transformativo CRUE-CSIC con Elsevier, 2021-2024 eng Elsevier Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess OWA operator Aggregation operator N-soft set Score Decision making Soft computing 5308 Economía General OWA aggregation operators and multi-agent decisions with N-soft sets info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion https://www.sciencedirect.com/science/article/pii/S0957417422007680?via%3Dihub Expert Systems with Applications 203 117430