A dimensionality reduction method for large-scale group decision-making using TF-IDF feature similarity and information loss entropy.
Qifeng WanXuanhua XuJing HanPublished in: Appl. Soft Comput. (2024)
Keyphrases
- information loss
- tf idf
- group decision making
- preprocessing step
- information retrieval
- dimensionality reduction
- vector space model
- decision makers
- document clustering
- text categorization
- similarity measure
- decision making
- semantic similarity
- text documents
- data quality
- retrieval model
- feature vectors
- multiple criteria
- feature selection
- text classification
- distance measure
- fuzzy numbers
- real world
- language model
- feature set
- principal component analysis
- data sets
- fuzzy sets
- text mining
- knowledge discovery
- pattern recognition
- random projections