Nguyen Xuan Thao

 Bui Cong Cuong

, Florentin Smarandache

A rough fuzzy set is the result of the approximation of a fuzzy set with respect to a crisp approximation space. It is a mathematical tool for the knowledge discovery in the fuzzy information systems. In this paper, we introduce the concepts of rough standard neutrosophic sets and standard neutrosophic information system, and give some results of the knowledge discovery on standard neutrosophic information system based on rough standard neutrosophic sets.

Rough Standard Neutrosophic Sets: An Application on Standard Neutrosophic Information Systems

Ferhat Taș

 Selçuk Topal

R. Dhavaseelan

 S. Jafari

R. Narmada Devi

Md. Hanif Page

F. Smarandache

Kanika Bhutani

Swati Aggarwal

“Neutrosophic Sets and Systems” has been created for publications on advanced studies in neutrosophy, neutrosophic set, neutrosophic logic, neutrosophic probability, neutrosophic statistics that started in 1995 and their applications in any field, such as the neutrosophic structures developed in algebra, geometry, topology, etc.

A Quarterly International Journal in Information Science and Engineering

Neutrosophic Sets and Systems, vol. 16/2017

Florentin Smarandache

In this paper, we first propose the concept of divergence measure on neutrosophic sets. We also provide some formulas for the divergence measure for neutrosophic sets. After that, we investigate the properties of proposed neutrosophic divergence measure. Finally, we also apply these formulas in medical problem and the classification problem.

Divergence Measure of Neutrosophic Sets and Applications

Nguyen Xuan Thao

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