Generalized Operations in Soft Set Theory via Relaxed Conditions on Parameters
[EN] Soft set theory has been evolved as a very useful mathematical tool to handle uncertainty and ambiguity associated with the real world data based structures. Parameters with certain conditions have been used to classify the data with the help of suitable functions. The aim of this paper is to r...
| Autores: | ; ; |
|---|---|
| Tipo de documento: | Artigo |
| Data de publicação: | 2017 |
| País: | España |
| Recursos: | Universitat Politècnica de València (UPV) |
| Repositório: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia |
| Idioma: | Inglês |
| OAI Identifier: | oai:riunet.upv.es:10251/102316 |
| Acesso em linha: | https://riunet.upv.es/handle/10251/102316 |
| Nível de acesso: | Acesso aberto |
| Palavra-chave: | Soft set Gf-soft subset Gf-soft equality Gf-soft union Gf-soft intersection MATEMATICA APLICADA |
| Resumo: | [EN] Soft set theory has been evolved as a very useful mathematical tool to handle uncertainty and ambiguity associated with the real world data based structures. Parameters with certain conditions have been used to classify the data with the help of suitable functions. The aim of this paper is to relax conditions on parameters which lead us to propose some new concepts that consequently generalize existing comparable notions. We introduce the concepts of generalized finite soft equality (gf-soft equality), generalized finite soft union (gf-soft union) and generalized finite soft intersection (gf-soft intersection) of two soft sets. We prove results involving operations introduced herein. Moreover, with the help of examples, it is shown that these operations are proper generalizations of existing comparable operations. |
|---|