King Lun Tommy Choy

TL;DR: A slippery genetic algorithm-based process mining system (sGAPMS) is developed to optimize fuzzy rules with the aim of facilitating a comprehensive quality assurance scheme in the garment industry and the results illustrate that better quality assurance can be achieved after rule optimization.

TL;DR: The varied population genetic algorithm (VPGA) and varied population differential evolution (VPDE) algorithm are proposed to determine the optimal solution and reduce the computational time of typical evolutionary algorithms.

TL;DR: An Internet of Things-based cargo monitoring system (IoT-CMS) to monitor any environmental changes of ESPs in order to ensure their functional quality throughout the entire cold chain operational environment is proposed.

TL;DR: The outcomes of this study provide fashion designers and merchandisers with appropriate fabric knowledge, enabling them to select the most appropriate fabric or fabric combination effectively and efficiently for new products; in turn, to enhance a garment enterprise's overall competency in managing its fabric resources.

TL;DR: A novel approach in applying the fuzzy association rule mining approach and the fuzzy logic technique is introduced, for discovering the factors influencing the pricing decision of products launched in e-commerce retail site, and in formulating flexible, dynamic pricing strategies for each product launched in an e- commerce site.