hrcak mascot   Srce   HID

Izvorni znanstveni članak

Attribute reduction algorithm based on cognitive model of granular computing in inconsistent decision information systems

Xiao Tang ; School of Mathematical Sciences, University of Electronic Science and Technology of China, Qingshuihe Campus of UESTC, No. 2006, Xiyuan Avenue, West Hi-tech Zone, Chengdu, 611731 Sichuan, P. R. China
Lan Shu ; School of Mathematical Sciences, University of Electronic Science and Technology of China, Qingshuihe Campus of UESTC, No. 2006, Xiyuan Avenue, West Hi-tech Zone, Chengdu, 611731 Sichuan, P. R. China

Puni tekst: engleski, pdf (630 KB) str. 49-54 preuzimanja: 291* citiraj
APA 6th Edition
Tang, X. i Shu, L. (2014). Attribute reduction algorithm based on cognitive model of granular computing in inconsistent decision information systems. Tehnički vjesnik, 21 (1), 49-54. Preuzeto s https://hrcak.srce.hr/116574
MLA 8th Edition
Tang, Xiao i Lan Shu. "Attribute reduction algorithm based on cognitive model of granular computing in inconsistent decision information systems." Tehnički vjesnik, vol. 21, br. 1, 2014, str. 49-54. https://hrcak.srce.hr/116574. Citirano 01.03.2021.
Chicago 17th Edition
Tang, Xiao i Lan Shu. "Attribute reduction algorithm based on cognitive model of granular computing in inconsistent decision information systems." Tehnički vjesnik 21, br. 1 (2014): 49-54. https://hrcak.srce.hr/116574
Harvard
Tang, X., i Shu, L. (2014). 'Attribute reduction algorithm based on cognitive model of granular computing in inconsistent decision information systems', Tehnički vjesnik, 21(1), str. 49-54. Preuzeto s: https://hrcak.srce.hr/116574 (Datum pristupa: 01.03.2021.)
Vancouver
Tang X, Shu L. Attribute reduction algorithm based on cognitive model of granular computing in inconsistent decision information systems. Tehnički vjesnik [Internet]. 2014 [pristupljeno 01.03.2021.];21(1):49-54. Dostupno na: https://hrcak.srce.hr/116574
IEEE
X. Tang i L. Shu, "Attribute reduction algorithm based on cognitive model of granular computing in inconsistent decision information systems", Tehnički vjesnik, vol.21, br. 1, str. 49-54, 2014. [Online]. Dostupno na: https://hrcak.srce.hr/116574. [Citirano: 01.03.2021.]
Puni tekst: hrvatski, pdf (630 KB) str. 49-54 preuzimanja: 220* citiraj
APA 6th Edition
Tang, X. i Shu, L. (2014). Algoritam redukcije atributa zasnovan na spoznajnom modelu granularnog računanja u informacijskim sustavima nedosljedne odluke. Tehnički vjesnik, 21 (1), 49-54. Preuzeto s https://hrcak.srce.hr/116574
MLA 8th Edition
Tang, Xiao i Lan Shu. "Algoritam redukcije atributa zasnovan na spoznajnom modelu granularnog računanja u informacijskim sustavima nedosljedne odluke." Tehnički vjesnik, vol. 21, br. 1, 2014, str. 49-54. https://hrcak.srce.hr/116574. Citirano 01.03.2021.
Chicago 17th Edition
Tang, Xiao i Lan Shu. "Algoritam redukcije atributa zasnovan na spoznajnom modelu granularnog računanja u informacijskim sustavima nedosljedne odluke." Tehnički vjesnik 21, br. 1 (2014): 49-54. https://hrcak.srce.hr/116574
Harvard
Tang, X., i Shu, L. (2014). 'Algoritam redukcije atributa zasnovan na spoznajnom modelu granularnog računanja u informacijskim sustavima nedosljedne odluke', Tehnički vjesnik, 21(1), str. 49-54. Preuzeto s: https://hrcak.srce.hr/116574 (Datum pristupa: 01.03.2021.)
Vancouver
Tang X, Shu L. Algoritam redukcije atributa zasnovan na spoznajnom modelu granularnog računanja u informacijskim sustavima nedosljedne odluke. Tehnički vjesnik [Internet]. 2014 [pristupljeno 01.03.2021.];21(1):49-54. Dostupno na: https://hrcak.srce.hr/116574
IEEE
X. Tang i L. Shu, "Algoritam redukcije atributa zasnovan na spoznajnom modelu granularnog računanja u informacijskim sustavima nedosljedne odluke", Tehnički vjesnik, vol.21, br. 1, str. 49-54, 2014. [Online]. Dostupno na: https://hrcak.srce.hr/116574. [Citirano: 01.03.2021.]

Sažetak
This article aims to explore a new method of attribute reduction in inconsistent decision information systems. By analyzing the connection of attribute reduction theory and cognitive science, an attribute reduction algorithm based on cognitive model of granular computing is proposed in this paper. Algorithm analysis and numerical experiment show the validity of the proposed attribute reductions algorithm. The method can be applied to both consistent and inconsistent information systems. The proposed model also provides a new model and thinking to study the connection of human’s cognition and notion. It is useful to the development of cognitive model.

Ključne riječi
attribute reduction; cognitive model; granular computing; inconsistent decision table

Hrčak ID: 116574

URI
https://hrcak.srce.hr/116574

[hrvatski]

Posjeta: 800 *