Saziye Yuksel

Application of soft sets to diagnose the prostate cancer risk

In recent years the artificial intelligence has been developed rapidly since it can be applied easily to several areas like medical diagnosis, engineering and economics, among others. In this study we have devised a soft expert system (SES) as a prediction system for prostate cancer by using the prostate specific antigen (PSA), prostate volume (PV) and age factors of patients based on fuzzy sets and soft sets and have calculated the patients’ prostate cancer risk. Our data set has been provided by the Department of Urology, Meram Medical Faculty in Necmettin Erbakan University, Konya, Turkey.

A Topological Approach to Soft Covering Approximation Space

Theories of rough sets and soft sets are powerful mathematical tools for modelling various types of vagueness. Hybrid model combining a rough set with a soft set which is called soft rough set proposed by Feng et al. [3] in 2010. In this paper, we study soft covering based rough sets from the topological view. We present under which conditions soft covering lower approximation operation become interior operator and the soft covering upper approximation become closure operator. Also some new methods for generating topologies are obtained. Finally, we study the relationship between concepts of topology and soft covering lower and soft covering upper approximations.

Upper and lower pre-strong na continuous multifunctions

The aim of this paper is to introduce a new class of multifunctions namely pre-strong na continuous multifunctions and to obtain some characterizations and properties of it.

Upper and Lower Semi Strong Na Continuous Multifunctions

The aim of this paper is to introduce semi strong na continuous multifunctions and to obtain new results.