Home ›
Entities
› academia
› Feature selection based on self-information combining double-quantitative class weights and three-order approximation accuracies in neighborhood rough sets
Feature selection based on self-information combining double-quantitative class weights and three-order approximation accuracies in neighborhood rough sets
Research article (Information Sciences, 2023) · cited 16× · AI/ML
Feature selection based on self-information combining double-quantitative class weights and three-order approximation accuracies in neighborhood rough sets
Summary
Feature selection based on self-information combining double-quantitative class weights and three-order approximation accuracies in neighborhood rough sets is a scholarly article[1].
Key Facts
Feature selection based on self-information combining double-quantitative class weights and three-order approximation accuracies in neighborhood rough sets's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Feature selection based on self-information combining double-quantitative class weights and three-order approximation accuracies in neighborhood rough sets. Retrieved May 24, 2026, from https://4ort.xyz/entity/feature-selection-based-on-self-information-combining-double-quantitative-class-weights-and-three-order-approximation-ac
MLA“Feature selection based on self-information combining double-quantitative class weights and three-order approximation accuracies in neighborhood rough sets.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/feature-selection-based-on-self-information-combining-double-quantitative-class-weights-and-three-order-approximation-ac.
BibTeX@misc{4ortxyz_feature-selection-based-on-self-information-combining-double-quantitative-class-weights-and-three-order-approximation-ac_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Feature selection based on self-information combining double-quantitative class weights and three-order approximation accuracies in neighborhood rough sets}}, year = {2026}, url = {https://4ort.xyz/entity/feature-selection-based-on-self-information-combining-double-quantitative-class-weights-and-three-order-approximation-ac}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Feature selection based on self-information combining double-quantitative class weights and three-order approximation accuracies in neighborhood rough sets — https://4ort.xyz/entity/feature-selection-based-on-self-information-combining-double-quantitative-class-weights-and-three-order-approximation-ac (retrieved 2026-05-24)
