37 Abstract — Feature selection (FS) is considered to be an important preprocessing step in machine learning and pattern recognition, and feature evaluation is the key issue for constructing a feature selection algorithm. Feature selection process can also reduce noise and this way enhance the classification accuracy. In this article, feature selection method based on ∩ fuzzy similarity measure...

This effort explores the effectiveness of adding a layer of fuzzy logic to a group of swarming multi agent robots for exploration and exploitation of an unknown obstacle rich environment represented by a 2D maze problem. The generalized maze problem has been considered as an interesting test bed by various researchers in AI and neural networks. Using a cooperative multi agent robot system reduc...

Pareto-optimality conditions are crucial when dealing with classic multi-objective optimization problems because we need to find out a set of optimal solutions rather than only one optimal solution to optimization problem with a single objective. Extensions of these conditions to the fuzzy domain have been discussed and addressed in recent literature. This work presents a novel approach based o...

Route planning problems are among the activities that have the highest impact on logistical planning, transport and distribution because of their effects on efficiency in resource management, service levels, and client satisfaction. The difficulty of movement between different customers and other problems cause the uncertainty of time of movement. In this paper this uncertainty is presented by ...

This work applies fuzzy sets to the integration of purchasing, manufacturing and assembling of production planning decisions with multiple suppliers, multiple components and multiple machines in remanufacturing systems. The developed fuzzy multi-objective linear programming model (FMOLP) simultaneously minimizes total costs, total $text{CO}_2$ emissions and total lead time with reference to cus...