Bijective Interval-Valued Fuzzy Soft Set with its Operations

Ke Gong; Pan Pan Wang; Zhi Hui Qi

doi:10.4028/www.scientific.net/AEF.6-7.373

Paper Titles

Realization of Bad Message Filtering System Based on kNN
p.350

Impact Analysis of Interference Sources on Data Communication System for CBTC Application
p.356

A Robust Webpage Information Hiding Method Based on the Slash of Tag
p.361

Development of Land Resource Management Data System Based on MAPGIS
p.367

Bijective Interval-Valued Fuzzy Soft Set with its Operations
p.373

Design and Implementation of the Logistics Management System Based on J2EE Technology
p.379

FTU Wireless Intelligent Information Acquisition System Based on ARM11
p.385

Automated Haze Removal and Radiometric Normalization for Electro-Optical Imagery Preprocessing
p.391

A Latticed-Based Public Key Encryption with KDM Security from R-LWE
p.398

HomeAdvanced Engineering ForumAdvanced Engineering Forum Vols. 6-7Bijective Interval-Valued Fuzzy Soft Set with its...

Bijective Interval-Valued Fuzzy Soft Set with its Operations

Abstract:

Bijective soft set is a valid approach for data mining and data analysis. This paper extends the notion to interval-valued fuzzy soft set, which can deal with more uncertain problems. The concept of bijective interval-valued fuzzy soft set is introduced and in the meantime, some of its operations and properties are discussed and studied.

By email View Pdf

You have full access to the following eBook

Read eBook

Info:

Periodical:

Advanced Engineering Forum (Volumes 6-7)

Pages:

373-378

DOI:

https://doi.org/10.4028/www.scientific.net/AEF.6-7.373

Citation:

Cite this paper

Online since:

September 2012

Authors:

Ke Gong, Pan Pan Wang, Zhi Hui Qi

Keywords:

Bijective Interval-Valued Fuzzy Soft Set, Interval-Valued Fuzzy Soft Set, Soft Set

Export:

RIS, BibTeX

Permissions:

Creative Commons CC BY 4.0

Citation:

References

[1] Molodtsov, D., Soft Set Theory First Results. Computers & Mathematics With Applications, 1999. 37(4-5): pp.19-31.

DOI: 10.1016/s0898-1221(99)00056-5

Google Scholar

[2] Zou, Y. and Z. Xiao, Data analysis approaches of soft sets under incomplete information. Knowledge-Based Systems, 2008. 21(8): pp.941-945.

DOI: 10.1016/j.knosys.2008.04.004

Google Scholar

[3] Maji, P.K., A.R. Roy and R. Biswas, an application of soft sets in a decision making problem. Computers & Mathematics with Applications, 2002. 44(8): pp.1077-1083.

DOI: 10.1016/s0898-1221(02)00216-x

Google Scholar

[4] Çaɡman, N. and S. Enginoglu, Soft set theory and uni–int decision making. European Journal of Operational Research, 2010. 207(2): pp.848-855.

DOI: 10.1016/j.ejor.2010.05.004

Google Scholar

[5] Kong, Z., L. Gao, L. Wang, and S. Li, The normal parameter reduction of soft sets and its algorithm. Computers & Mathematics with Applications, 2008. 56(12): pp.3029-3037.

DOI: 10.1016/j.camwa.2008.07.013

Google Scholar

[6] Gong, K., Z. Xiao and X. Zhang, The bijective soft set with its operations. Computers & Mathematics with Applications, 2010. 60(8): pp.2270-2278.

DOI: 10.1016/j.camwa.2010.08.017

Google Scholar

[7] Yang, X., T.Y. Lin, J. Yang, Y. Li, and D. Yu, Combination of interval-valued fuzzy set and soft set. Computers & Mathematics with Applications, 2009. 58(3): 521-527.

DOI: 10.1016/j.camwa.2009.04.019

Google Scholar

[8] Roy, A.R. and P.K. Maji, A fuzzy soft set theoretic approach to decision making problems. Journal of Computational and Applied Mathematics, 2007. 203(2): pp.412-418.

DOI: 10.1016/j.cam.2006.04.008

Google Scholar

[9] F. Feng, Y.B. Jun, X.Y. Liu, L.F. Li, An adjustable approach to fuzzy soft set based decision making, J. Comput. Appl. Math. 2010. 234(1): pp.10-20.

DOI: 10.1016/j.cam.2009.11.055

Google Scholar