2015 Seventh International Symposium on Parallel Architectures, Algorithms and Programming (PAAP) (2015)
Dec. 12, 2015 to Dec. 14, 2015
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/PAAP.2015.39
The traditional decision methods are always relying on priori knowledge and expert knowledge. Aiming at these shortcomings, we propose a novel decision-making method based on weighted formal context. Firstly, we use weight to evaluate object's importance level and attribute's frequency level. Secondly, we calculate the arithmetic mean value of the object's attribute weight to express corresponding object's average attribute weight, and then obtain the ratio of object's average attribute weight and object weight to express object's comprehensive weight. Finally, on the premise of the numbers of attributes owned times remains the same, the object's comprehensive weight is used to decision other object-attribute relation's changing precedence when an object change. This paper take the teaching task allocation of college teaching management system as an example, verifying the effectiveness of the proposed method, and widen the application field of formal context.
Context, Decision making, Lattices, Education, Knowledge engineering, Sorting, Computers
D. Han, T. Gan, M. Ye, L. Zhang and X. Shen, "A Decision-Making Method Based on Weighted Formal Context," 2015 Seventh International Symposium on Parallel Architectures, Algorithms and Programming (PAAP), Nanjing, China, 2015, pp. 162-166.