in recent years, the problem of selecting and evaluating the suppliers in supply chain management has aroused considerable interest in business firms. owing to the development of information systems, reaching an appropriate decision for adopting discrete methods is a need. the researchers intend to present a new model in this paper as a contributing factor in the grey environment in which the r...

This study empirically analyzes model accuracy, and applies grey forecasting to handle non-linear problems, insufficient data resources and forecasting involving small samples, and to construct the co-opetition diffusion model for the Lotka–Volterra (L.V.) system. Furthermore, this study examines historical data comprising revenue trends in the Taiwanese IC assembly industry during the past ten...

The problemof selection and the best option are themain subject of operation research science in decision-making theory. Selection is a process that scrutinizes and investigates several quantitative and qualitative, and most often incompatible, factors. One of the most fundamental management issues in multicriteria selection literature is the multicriteria adoption of the projects portfolio. In...

Based on detailed analysis of computational principles of the grey relational analysis method and a series of the relevant researches, this paper proposes a web service selection method based on Grey Relational Analysis to improve the shortcomings caused by personal assignment, so as to improve the usability of the algorithm and reduce the limitation of service selection. At the same time, this...

Nowadays, electricity theft has been a major problem worldwide. Although many single-classification algorithms or an ensemble of single learners (i.e., homogeneous learning) have proven able to automatically identify suspicious customers in recent years, after the accuracy these methods reaches certain level, it still cannot be improved even if continues optimized. To break through this bottlen...

Abstract Failure mode and effect analysis (FMEA) is a systematic approach for identifying potential failures before they occur, with the intent to minimize the risk associated with them. It has been widely used in the various manufacturing industries as a solution to reliability problems. As the importance of the service sector is increasing, however, it has been recently extended to some appli...