In this paper, we present an agent-based system for distributed risk assessment of breast
cancer development employing fuzzy and probabilistic computing. The proposed fuzzy multi …

SOFT COMPUTING techniques play an important role for decision-making applications with
imprecise and uncertain knowledge. The application of fuzzy SOFT COMPUTING …

The aim of this study is to define the risk factors that are effective in Breast Cancer (BC)
occurrence, and to construct a supportive model that will promote the cause-and-effect …

Breast cancer has become a common disease around the world. Expert systems are
valuable tools that have been successful for the disease diagnosis. In this research, we …

A breast cancer risk assessment based on fuzzy set theory and fuzzy logic is proposed in
this paper. The proposed fuzzy breast cancer system maps two controlled and two non …

Breast cancer is the global burden, the recorded breast cancer data from hospitals can be
used to develop a fuzzy decision support system to help in risk stratification of breast cancer …

Thousands of people die every year because of cancer due to limitation of medical sources
and unable to use the existing sources effectively. Loss of patients can be reduced by using …

The decisional process of the best suited follow-up treatment for a breast cancer case is
strongly connected to the correct diagnosis of the breast cancer risk. Though there are plenty …

Data mining techniques along with fuzzy logic, play an important role in decision-making
applications with imprecise and uncertain knowledge. A fuzzy expert system models …

The death rate is caused by breast cancer in women is increasingly high and growing. A
number of people are getting to lose this part of their body due to late diagnosis of this …