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Bijective Soft Matrix Theory And Its Applications

Author

Listed:
  • Hüseyin KAMACI

    (Bozok University)

  • Ak?n Osman Atagün

    (Bozok University)

Abstract

Soft set theory was firstly introduced by Molodtsov [1].In the papers[1,2,3], the soft set theory was succesfully applied in several directions, such as smoothness of functions, gametheory, operations research, riemann integration, Perron integration, probability, theory of measurement and so on.Gong et al.[4] presented bijective soft set theory. Since it is easy to store and manipulate matrices, transferring of bijective soft sets to soft matrices is very useful. Soft matrices which are representations of soft sets was firstly defined by Ça?man and Engino?lu[5]. In this study, we construct bijective soft matrix theory and investigate some properties of bijective soft matrices, in detail. We demonstrate some matrix operations are preserved for bijective soft matrices, such as AND product.Finally, we indicate that can use the bijective soft matrices in decision making problems.

Suggested Citation

  • Hüseyin KAMACI & Ak?n Osman Atagün, 2016. "Bijective Soft Matrix Theory And Its Applications," Proceedings of International Academic Conferences 3605798, International Institute of Social and Economic Sciences.
    • Handle: RePEc:sek:iacpro:3605798
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    File URL: https://iises.net/proceedings/23rd-international-academic-conference-venice/table-of-content/detail?cid=36&iid=043&rid=5798
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    More about this item

    Keywords

    Bijective soft sets; Soft matrix; Bijective soft matrix.;
    All these keywords.

    JEL classification:

    • C69 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Other

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