Web page feature selection and classification using neural networks
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Informatics and computer science intelligent systems applications
Using fuzzy decision making for the evaluation of the project management internal efficiency
Decision Support Systems
Expert Systems with Applications: An International Journal
Applying FMCDM to evaluate financial performance of domestic airlines in Taiwan
Expert Systems with Applications: An International Journal
A novel approach to construct grey principal component analysis evaluation model
Expert Systems with Applications: An International Journal
An evolution-based approach with modularized evaluations to forecast financial distress
Knowledge-Based Systems
Hi-index | 12.05 |
Decision-making is often characterized by complex and multiple criteria. Traditional multivariate statistical analysis used as a model for multiple criteria performance evaluation is often constrained by many underlying hypotheses and is probably hindered by insufficient amounts of sample data. Grey theory is a systematic analysis methodology that is specifically developed to rectify the above disadvantages. In addition to the revision of the calculation of absolute degree of grey incidence (ADGI), this study attempts to combine the advantages of grey theory and factor analysis and establish a grey factor analysis (GFA) performance evaluation model by means of an ADGI matrix, which replaces the correlation matrix. Hence, this model will not only be expected to find the principal common factors that affect performance, but can be expected to evaluate the overall performance of all the identity under evaluation. Furthermore, since the biotechnology industry is deemed as a major industry to be developed, this study will test the GFA performance evaluation model with listed biotechnology corporations in Taiwan. The result will be expected to indicate the adaptability of the GFA model, and how the model will also be able to offer a computationally easy and rapid ascertainable result method for multi-criteria decision-making (MCDM) models.