Construction Effective Knowledge Integration Strategy Based on Culture Algorithm Framework

Integrating knowledge from different subjects and sources to obtain an effective knowledge base is the key to improve decision quality and enhance organizational core competency. We put forward a knowledge integration strategy under the framework of culture algorithm. It encodes the knowledge unifor...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:2010 International Conference of Information Science and Management Engineering Ročník 2; s. 231 - 234
Hlavní autor: Chen, Si-hua
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.08.2010
Témata:
Biological cells
Cultural Algorithm
Diseases
Encoding
Evolution (biology)
Forecasting
Knowledge based systems
Knowledge Coding
Knowledge Integration
Space
Training data
ISBN:9781424476695, 1424476690
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:Integrating knowledge from different subjects and sources to obtain an effective knowledge base is the key to improve decision quality and enhance organizational core competency. We put forward a knowledge integration strategy under the framework of culture algorithm. It encodes the knowledge uniformly and through the evolvement of the two phases of population space and belief space the communication protocol is established among the two spaces. Then an effective and concise knowledge base is automatically produced. The experiment shows that comparing with traditional genetic algorithm, the model can classify the knowledge more precisely, reduce redundant knowledge and remove contradictory knowledge.
ISBN:9781424476695
1424476690
DOI:10.1109/ISME.2010.160