Title :
Applying rough set theory to analyzing the evaluation index system of modern rural logistics construction
Author :
Jiang, Hua ; Yang, Jing
Author_Institution :
Sch. of Econ. & Manage., Hebei Univ. of Eng., Handan, China
Abstract :
It is an important way to optimize the rural economy structure, and boost the rural economy developing, as well as be an important aspect in new socialist countryside construction to develop rural logistics industry. It has important practical significance to study modern logistics system in rural areas. The paper applied rough set theory to analyse the evaluation index system of modern rural logistics construction. The model used Johnson Reducer algorithm to reduce the initial decision table and, through calculating the importance of the attributes in the reduced decision table, identified the weight coefficients of various evaluation indexes, effectively overcoming the subjectivity of weight coefficient determination, which provided basis for decision making of building a modern logistics system in rural areas.
Keywords :
decision making; economics; logistics; rough set theory; town and country planning; Johnson reducer algorithm; decision making; evaluation index system; initial decision table; modern rural logistics construction; reduced decision table; rough set theory; rural economy structure; weight coefficient determination; Agricultural products; Agriculture; Constitution; Construction industry; Costs; Decision making; Industrial training; Logistics; Modems; Set theory; evaluation index system; index importance; modern rural logistics construction; rough set theory;
Conference_Titel :
Test and Measurement, 2009. ICTM '09. International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-4699-5
DOI :
10.1109/ICTM.2009.5413017