Comprehensive Evaluation Model Based on Synthetic Importance Measure
2013 ◽
Vol 380-384
◽
pp. 987-990
Keyword(s):
To solve the problem of attributes interdependence and correlation in comprehensive evaluation, the paper proposes to identify the relationships among the attributes from the decision information system based on the covering rough sets. It first shows a metric with the characteristics of fuzzy measure to measure the hidden importance of attributes, which can be seen as a reflection of the attributes correlation. Then the synthetic importance measure is given by incorporating it into the basic importance. Furthermore, the comprehensive valuation model is constructed by taking Choquet integral as an aggregation operator.
2014 ◽
Vol 602-605
◽
pp. 3379-3383
Keyword(s):
Keyword(s):
Keyword(s):
2013 ◽
Vol 756-759
◽
pp. 715-719
2021 ◽
Vol 1920
(1)
◽
pp. 012012
2021 ◽
Vol 714
(2)
◽
pp. 022016