An online and incremental GRLVQ algorithm for prototype generation based on granular computing
Sign Up to like & getrecommendations! Published in 2017 at "Soft Computing"
DOI: 10.1007/s00500-016-2042-0
Abstract: In supervised classification, learning vector quantization (LVQ) methods are commonly used due to their intuitive structure based on prototypical instances that reduce considerably the computations in the classification process. Several improvements of LVQ have been… read more here.
Keywords: based granular; incremental grlvq; granular computing; computing online ... See more keywords
A Granular Computing-Based Hybrid Hierarchical Method for Construction of Long-Term Prediction Intervals for Gaseous System of Steel Industry
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2983446
Abstract: Byproduct gaseous energy is crucial to the iron-steel manufacturing process, where the tendencies of its generation and consumption can be deemed as a significant reference for scheduling production and decision-making. Besides the requirements imposed on… read more here.
Keywords: granular computing; computing based; prediction intervals; long term ... See more keywords
A Granular Computing-Based Deep Neural Network Approach for Automatic Evaluation of Writing Quality
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3276648
Abstract: As a subjective behaviour relying on expert experience, automatic evaluation of writing quality always remains a technical issue. It requires both effective semantic understanding and structure analysis towards writing contents. To deal with this challenge,… read more here.
Keywords: neural network; deep neural; granular computing; automatic evaluation ... See more keywords
Rule Extraction for Screening of COVID-19 Disease Using Granular Computing Approach
Sign Up to like & getrecommendations! Published in 2022 at "Computational and Mathematical Methods in Medicine"
DOI: 10.1155/2022/8729749
Abstract: In the epidemic status of an unknown virus called Coronavirus, one of the main problems is inadequate access to treatment centers. Statistics show that many people are infected with the virus through unseasonable visits to… read more here.
Keywords: covid disease; disease; rule extraction; granular computing ... See more keywords
An Approach for a Spatial Data Attribute Similarity Measure Based on Granular Computing Closeness
Sign Up to like & getrecommendations! Published in 2019 at "Applied Sciences"
DOI: 10.3390/app9132628
Abstract: This paper proposes a spatial data attribute similarity measure method based on granular computing closeness. This method uses the distance and membership degree of different index levels of spatial entities to measure the similarity of… read more here.
Keywords: spatial data; granular computing; similarity; similarity measure ... See more keywords
Granular Computing Approach to Evaluate Spatio-Temporal Events in Intuitionistic Fuzzy Sets Data through Formal Concept Analysis
Sign Up to like & getrecommendations! Published in 2023 at "Axioms"
DOI: 10.3390/axioms12050407
Abstract: Knowledge discovery through spatial and temporal aspects of data related to occurrences of events has many applications in digital forensics. Specifically, in electronic surveillance, it is helpful to construct a timeline to analyze information. The… read more here.
Keywords: intuitionistic fuzzy; granular computing; concept analysis; formal concept ... See more keywords