A Decision System for Commercial Products using Rough-Fuzzy Hybridization

Fuzzy-Rough Hybridization

Fuzzy sets and rough sets are known as uncertainty models. They are proposed to treat different aspects of uncertainty. Therefore, it is natural to combine them to build more powerful mathematical tools for treating problems under uncertainty. In this chapter, we describe the state of the art in the combinations of fuzzy and rough sets dividing into three parts. In the first part, we first desc...

Forecasting Surgical Outcomes Using a Fuzzy-Based Decision System

Background and objectives: The kidneys of chronic kidney disease (CKD) patients do not have enough function and hemodialysis (HD) is a common procedure for their treatment. HD requires vascular access surgery (VAS) and arteriovenous fistula (AVF) is a low-complication method in VAS. However, different rates of AVF failure have been reported worldwide which can cause repeating s...

A hybrid decision making system using DEA and fuzzy models for supplier selection in the presence of multiple decision makers

Fuzzy-Rough Feature Significance for Fuzzy Decision Trees

Crisp decision trees are one of the most popular classification algorithms in current use within data mining and machine learning. However, although they possess many desirable features, they lack the ability to model vagueness. As a result of this, the induction of fuzzy decision trees (FDTs) has become an area of much interest. One important aspect of tree induction is the choice of feature a...

Decision Algorithm for Pool Using Fuzzy System

A decision algorithm using the concept of fuzzy logic is proposed in determining strategic shots in a game of pool. Each possible shot on the board is ranked in order to determine the level of difficulty based on two distance parameters and an angle parameter. The set of parameters in the fuzzy system can be tuned to suit the specific playing style (or player’s behavior) on the choice of the ma...