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
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.]
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.