Decision Making in an Intracellular Genetic Classifier

Review of Fuzzy Decision Tree: An improved Decision Making Classifier

Over the years, various methodologies have been investigated and proposed to deal with continuous or numeric data which is very common in any application. With the increasing popularity of fuzzy representation, researchers have proposed to utilize fuzzy logic in decision trees to deal with the situations. This paper presents a survey of current methodology to design FDT (Fuzzy Decision Tree), v...

An AHP-Delphi Multi-Criteria Decision Making Model with Application to Environmental Decision-Making

Decision making in an Adaptive Reservoir Genetic Algorithm

It is now common knowledge that blind search algorithms cannot perform with equal efficiency on all possible optimization problems defined on a domain. This knowledge applies also to Genetic Algorithms when viewed as global and blind optimizers. From this point of view it is necessary to design algorithms capable of adapting their search behaviour by making use in a direct fashion of the knowle...

Learning classifier systems for decision making in continuous-valued domains

This thesis investigates Learning Classifier System architectures for decision making in continuous-valued domains. The information contained in continuous-valued domains is not always conveniently expressed using the ternary representation typically used by Learning Classifier Systems and an interval-based representation is a natural choice. Two intervalbased representations recently proposed ...

Genetic decision-making: parental responsibility.