id: 05524201
dt: j
an: 05524201
au: Wang, Xinfan; Yang, Xiaojuan
ti: Connection-number-similarity-measure-based method for multiple attribute
    decision making with interval numbers.
so: Math. Pract. Theory 38, No. 3, 16-22 (2008).
py: 2008
pu: 
la: ZH
cc: 
ut: multiple attribute decision making; interval number; set pair analysis;
    connection number; similarity measure; TOPSIS
ci: 
li: 
ab: Summary: Referring to set pair analysis and connection mathematics theory,
    methods for multiple attribute decision making with interval numbers
    are investigated. Firstly, the connection number similarity measure is
    defined and its quality is given. By transforming interval numbers
    decision matrix into connection numbers decision matrix, using the
    traditional technique for order preference by similarity to ideal
    solution (TOPSIS), a connection-number-similarity-measure-based method
    for multiple attribute decision making with interval numbers is
    proposed. This method is straight forward and can be performed on
    computer easily. It can avoid comparing and ranking interval numbers.
    Finally, an illustrative example is also given to demonstrate the
    feasibility and practicability of the proposed method.
rv: