A hybrid Taguchi-based genetic algorithm (HTGA) is developed for solving multi-objective flowshop scheduling problems (FSPs). Search performance is improved by using Taguchi-based crossover to avoid scheduling conflicts, and dynamic weights are randomly selected by a fuzzy inference system. The conventional approach to selecting dynamic weights randomly ignores small value for the objective whe...

This study is an attempt to overcome the lack of reliable estimates on the willingness of Malaysian users to pay for public transportation (particularly buses) through a combined analysis of a fuzzy analytical hierarchy process (F-AHP) and the Taguchi method. This is a ground-breaking study in the attempt to evaluate the bus users’ satisfaction factors based on the F-AHP, and find the pattern f...

The fuzzy regression has been found effective in modeling the relationship between the dependent variable and independent variables when a high degree of fuzziness is involved and only a few data sets are available for model building. This research, therefore, proposes an approach for optimizing multiple responses in the Taguchi method using fuzzy regression and desirability function. The stati...

This study developed a neural fuzzy network (NFN) model with evolutionary learning algorithm for use in the field of food mycology for predicting growth in foodborne fungi. The evolutionary learning algorithm in the proposed model is a hybrid Taguchi-genetic algorithm (HTGA) that simultaneously finds the optimal antecedent and consequent parameters by directly minimizing root-mean-squared error...

Lithium ion (Li-ion) batteries have been widely used in various kinds of applications, including consumer electronics, green energy systems and electrical vehicles. Since the charging method has a significant influence on the performance and lifetime of Li-ion batteries, an intelligent charging algorithm which can properly determine the charging current is essential. In this study, a fuzzy-logi...

Real-world problems are always complex and with the presence of uncertainty. The fuzzy technologies embedded into the methodologies of data analysis and decision making processes may help deal with such difficult problems. This issue of the International Journal of Fuzzy System Applications, a high-quality scientific journal, is special issue that provides researchers and practitioners an oppor...

in this paper, we consider the fuzzy fixed-charge transportation problem (ffctp). both of fixed and transportation cost are fuzzy numbers. contrary to previous works, electromagnetism-like algorithms (em) is firstly proposed in this research area to solve the problem. three types of em; original em, revised em, and hybrid em are firstly employed for the given problem. the latter is being firstl...

Glass fiber reinforced plastics are finding its increased applications in various engineering fields such as aerospace, automobile, electronics and other industries. This paper discusses the use of fuzzy logic for modeling turning parameters in turning of glass fiber reinforced plastics by carbide tool (K-20). Experiments were conducted based on the established Taguchi‟s Design of Experiments (...