SpringerOpen Newsletter

Receive periodic news and updates relating to SpringerOpen.

Open Access Research

Application of soft sets to diagnose the prostate cancer risk

Saziye Yuksel1, Tugbahan Dizman1*, Gulnur Yildizdan2 and Unal Sert3

Author Affiliations

1 Department of Mathematics, Science Faculty, Selcuk University, Konya, Turkey

2 Department of Computer Technology and Programming, Kulu Technical Science College, Selcuk University, Konya, Turkey

3 Department of Urology, Meram Medical Faculty, Necmettin Erbakan University, Konya, Turkey

For all author emails, please log on.

Journal of Inequalities and Applications 2013, 2013:229  doi:10.1186/1029-242X-2013-229

Published: 7 May 2013

Abstract

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.

Keywords:
fuzzy set; soft set; prostate cancer; soft expert system