OWA aggregation operators and multi-agent decisions with N-soft sets
[EN] This work improves the theoretical basis of -soft sets and insists on their practical applications in a multiagent context. -soft sets characterize the alternatives in terms of multinary descriptions by attributes. We argue that unlike the basic example of soft set theory, -soft sets are amenab...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2022 |
| País: | España |
| Institución: | Universidad de Salamanca (USAL) |
| Repositorio: | GREDOS. Repositorio Institucional de la Universidad de Salamanca |
| OAI Identifier: | oai:gredos.usal.es:10366/159457 |
| Acceso en línea: | http://hdl.handle.net/10366/159457 |
| Access Level: | acceso abierto |
| Palabra clave: | OWA operator Aggregation operator N-soft set Score Decision making Soft computing 5308 Economía General |
| Sumario: | [EN] This work improves the theoretical basis of -soft sets and insists on their practical applications in a multiagent context. -soft sets characterize the alternatives in terms of multinary descriptions by attributes. We argue that unlike the basic example of soft set theory, -soft sets are amenable to various interesting approaches in relation to aggregation. However the literature has not provided mechanisms for the aggregation of -soft sets. And there exists no multi-agent decision making procedure based on -soft sets either. Therefore, the goal of this work is twofold. We present a novel theory of aggregation of -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 -soft sets. We support our findings with real examples that illustrate the application and versatility of these flexible approaches. |
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