Title :
A multi-attribute decision analysis method based on rough sets dealing with uncertain information
Author :
Hu Ming-li ; Shen Fei-fei ; Chen Ya-huan
Author_Institution :
Sch. of Econ. & Manage., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
Abstract :
Information in emergency situation are always uncertain, which presents as incomplete or inaccurate. As a consequence, it is difficult to make decision correctly and rapidly enough in an emergency. A multi-attribute decision making method is proposed based on the concept of extended dominance relation and variable precision rough sets in this paper. Firstly, the definitions of extended dominance relation and variable precision rough sets are introduced in detail. Secondly, two types of extended dominance rules are obtained from the pairwise comparison table. Thirdly, a scoring function is defined and sorted to score all the objects. Finally, a case about the emergency decision making after an earthquake is discussed to demonstrate the feasibility and efficiency of the method.
Keywords :
decision making; emergency services; rough set theory; dominance relation; dominance rule; emergency situation; multiattribute decision analysis; multiattribute decision making method; pairwise comparison table; rough set; scoring function; uncertain information; variable precision; Probabilistic logic; Variable speed drives; emergency decision making; extended dominance relation; pairwise comparison table; variable precision rough sets;
Conference_Titel :
Grey Systems and Intelligent Services (GSIS), 2011 IEEE International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-61284-490-9
DOI :
10.1109/GSIS.2011.6043984