Autosoft Journal

Online Manuscript Access

A Method for Decision Making Problems by using Graph Representation of Soft Set Relations



Soft set theory, which was defined by D. Molodtsov, has a rich potential for applications in several fields of life. One of the successful application of the soft set theory is to construct new methods for Decision Making problems. In this study, we are introducing a method using graph representation of soft set relations to solve Decision Making problems. We have successfully applied this method to various examples.



Total Pages: 7


Manuscript ViewPdf Subscription required to access this document

Obtain access this manuscript in one of the following ways

Already subscribed?

Need information on obtaining a subscription? Personal and institutional subscriptions are available.

Already an author? Have access via email address?


Online Article

Cite this document


Acar, U., Koyuncu, F., & Tanay B. (2010). Soft sets and soft rings. Computer & Mathematics with Applications, 59, 3458-3463

Aktas, H. & Çağman, (2007). N. Soft sets and soft groups. Information Sciences, 117, 2726-2735.

Babitha, K.V. & Sunil, J.J. (2010). Soft set relations and functions, Computer & Mathematics with Applications, 60, 1840-1849.

Babitha, K.V. & Sunil, J.J. (2011). Transitive closures and ordering on soft sets. Computer & Mathematics with Applications, 62, 2235-2239.

Ballı, S. & Turker, M. (2017). A Fuzzy Multi-Criteria Decision Analysis Approach for the Evaluation of the Network Service Providers in Turkey. Intelligent Automation & Soft Computing, 1-7.

Çağman, N. & Enginoğlu E. (2010). Soft matrix theory and its decision making. Computer & Mathematics with Applications, 59, 3308-3314.

Dauda, M.K., Aliyu I., & Ibrahim A. M. (2013). Partial Ordering in Soft Set Context. Mathematical Theory and Modeling, 3, No.8.

Grimaldi, R. P. (2004) Discrete and Combinatorial Mathematics (an Applied Introduction), United States of America, Addison-Wesley, Fifth Edition.

Gunduz, C. & Bayramov, S. (2011a). Fuzzy soft modules. International Mathematical Forum, 6, No.11, 517-527.

Gunduz, (Aras) C. & Bayramov, S. (2011b). Intuitionistic fuzzy soft modules. Computer & Mathematics with Applications, 62, 2480-2486.

Ibrahim, A.M., Dauda, M.K., & Singh, D. (2012). Composition of soft set relations and construction of transitive closure. Mathematical Theory and Modeling, 2 No.7.

Jiang, Y., Liu, H., Tang, Y., & Chen Q. (2011). Semantic decision making using ontology-based soft sets, Mathematical and Computer Modelling, 53, 1140-1149.

Maji, P.K., Biswas, R., & Roy, A.R. (2003). Soft set theory. Computers and Mathematics with Applications, 45, 555-562.

Molodtsov, D. (1999). Soft Set Theory-First Result. Computers and Mathematics with Applications, 37, 19-31.

Ozturk, T.Y., Gunduz, C.A., & Bayramov S. (2013). Inverse and direct systems of soft modules. Annals of Fuzzy Mathematics and Informatics, 5, No.1, 73-85.

Park, J.H., Kim, O.H., & Kwun, Y.C. (2012). Some properties of equivalence soft set relations. Computers & Mathematics with Applications 63, 6, 1079-1088.

Tanay, B. & Yaylalı, G. (2015). A Method for Decision Making by Using Soft Intervals. International Conference on Recent Advances in Pure and Applied Mathematics (Icrapam).

Wang, C. & Wang, J. (2016). A multi-criteria decision-making method based on triangular intuitionistic fuzzy preference information. Intelligent Automation & Soft Computing, 22:3, 473-482.

Yang, H. & Guo, Z. (2011). Kernels and closures of soft set relations and soft set relation mappings. Computers and Mathematics with Applications, 61, 651-662.

Zeinalova, L.M. (2014). Expected Utility Based Decision Making Under Z-Information. Intelligent Automation & Soft Computing, 20:3, 420-431.

Zhang, X. (2014). On Interval Soft Sets with Applications. International Journal of Computational Intelligence Systems, 7:1, 186-196.


ISSN PRINT: 1079-8587
ISSN ONLINE: 2326-005X
DOI PREFIX: 10.31209
10.1080/10798587 with T&F
IMPACT FACTOR: 0.652 (2017/2018)
Journal: 1995-Present


TSI Press
18015 Bullis Hill
San Antonio, TX 78258 USA
PH: 210 479 1022
FAX: 210 479 1048