A fuzzy decision support system for selecting the optimal scheduling rule in robotic flexible assembly cells

Abstract

The aim of this paper is to present a proposed methodology to select optimal scheduling rule for robotic fl exible assembly cells based fuzzy decision support system. Six common scheduling rules are considered, and three independent objectives, namely, the minimising of makespan (C max ), total tardiness (TD) and percentage of tardy jobs (%T) are measured. A fuzzy decision support system is implemented using the Matlab fuzzy toolbox. The fi nal results demonstrate the effectiveness of the proposed methodology to select optimal scheduling rule in a multi-product assembly environment.

Quality index evaluation of videos based on fuzzy interface system

“…Trimf and trapmf are the most popular membership functions due to simplicity and computational efficiency [43]. They can perform acceptably without the need for further tuning [44] and they apply a robust way to approach the convex function [45]. The membership functions of the inputs are divided into three linguistic values (poor, satisfactory and good), while the membership functions of the outputs (QS1, QS2, QS3 and TQI) are divided into nine linguistic values (poor–excellent).…”