A New MADA Methodology Based on D Numbers

作者: Hongming Mo , Yong Deng

DOI: 10.1007/S40815-018-0514-3

关键词:

摘要: … based on D numbers is proposed. Different with other existing methods, the new proposed method is more simply and straightforward, due to the integration property of D numbers. A …

参考文章(76)
J. B. Yang, P. Sen, Evidential Reasoning Based Hierarchical Analysis for Design Selection of Ship Retro-Fit Options Artificial Intelligence in Design ’94. pp. 327- 344 ,(1994) , 10.1007/978-94-011-0928-4_19
Sang-Bing Tsai, Min-Fang Chien, Youzhi Xue, Lei Li, Xiaodong Jiang, Quan Chen, Jie Zhou, Lei Wang, Using the Fuzzy DEMATEL to Determine Environmental Performance: A Case of Printed Circuit Board Industry in Taiwan PLOS ONE. ,vol. 10, pp. e0129153- ,(2015) , 10.1371/JOURNAL.PONE.0129153
Lotfi A. Zadeh, Review of A Mathematical Theory of Evidence Ai Magazine. ,vol. 5, pp. 81- 83 ,(1984) , 10.1609/AIMAG.V5I3.452
Hongming Mo, Cai Gao, Yong Deng, Evidential method to identify influential nodes in complex networks Journal of Systems Engineering and Electronics. ,vol. 26, pp. 381- 387 ,(2015) , 10.1109/JSEE.2015.00044
Guichao Fan, Denghua Zhong, Fugen Yan, Pan Yue, A hybrid fuzzy evaluation method for curtain grouting efficiency assessment based on an AHP method extended by D numbers Expert Systems With Applications. ,vol. 44, pp. 289- 303 ,(2016) , 10.1016/J.ESWA.2015.09.006
E.K. Zavadskas, D. Kalibatas, D. Kalibatiene, A multi-attribute assessment using WASPAS for choosing an optimal indoor environment Archives of Civil and Mechanical Engineering. ,vol. 16, pp. 76- 85 ,(2016) , 10.1016/J.ACME.2015.10.002
Valerie Belton, Tony Gear, On a short-coming of Saaty's method of analytic hierarchies Omega. ,vol. 11, pp. 228- 230 ,(1983) , 10.1016/0305-0483(83)90047-6
Sadiq M. Sait, Abdalrahman M. Arafeh, Cell assignment in hybrid CMOS/nanodevices architecture using Tabu Search Applied Intelligence. ,vol. 40, pp. 1- 12 ,(2014) , 10.1007/S10489-013-0441-9
Zhun-ga Liu, Quan Pan, Jean Dezert, A belief classification rule for imprecise data Applied Intelligence. ,vol. 40, pp. 214- 228 ,(2014) , 10.1007/S10489-013-0453-5