selection of bank branches location based on rough set theory – multi choice goal programming

Optimum Maintenance Strategy Selection using a Hybrid Approach based on Analytical Hierarchy Process and Revised Multi Choice Goal Programming

This study aims to select optimal maintenance strategy for components of an electric motor of the National Iranian Oil Refining and Distribution Company. In this regard, a method based on revised multi choice goal programming and analytic hierarchy process (AHP) is presented. Since improving the equipment reliability is an important issue, reliability centered maintenance (RCM) strategies are i...

Indicator Selection based on Rough Set Theory

A method for indicator selection is proposed in this paper. The method, which adopts the General Methodology and Design Research approach, consists of four steps: Problem Identification, Requirement Gathering, Indicator Extraction, and Evaluation. Rough Set approach also has been applied in the Indicator Extraction phase. This phase consists of 5 steps: Data selection, Data Preprocessing, Discr...

Fuzzy Multi-Choice Goal Programming for Supplier Selection

Supplier selection decision is an important issue of purchasing management in supply chain management involving multiple objectives; however, it is difficult to solve because objectives are often conflicting in nature. This study integrates multi-choice goal programming (MCGP) and fuzzy approaches as decision aids to help decision makers to choose better suppliers by considering multiple aspira...

Best Emotional Feature Selection Criteria Based on Rough Set Theory

Non-verbal communication may be used to enhance verbal communication or even provide developers with an alternative for communicating information. Emotion or Gesture recognition is been highlighted in the area of Artificial Intelligence and advanced machine learning. Emotion or gesture is an important feature for an intelligent Human Computer Interaction. This paper basically is a literature su...

Incremental Feature Selection Based on Rough Set Theory (PhD Proposal)

A Multi-objective Feature Selection Approach Based on Binary PSO and Rough Set Theory

Feature selection has two main objectives of maximising the classification performance and minimising the number of features. However, most existing feature selection algorithms are single objective wrapper approaches. In this work, we propose a multi-objective filter feature selection algorithm based on binary particle swarm optimisation (PSO) and probabilistic rough set theory. The proposed a...