TY - GEN
T1 - An improved MCDM model with cloud TOPSIS method
AU - Zhang, Jianing
AU - Chang, Wenbing
AU - Zhou, Shenghan
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/7/17
Y1 - 2015/7/17
N2 - The paper aims to develop an improved MCDM model with cloud TOPSIS method. In the past literature, many methods were used to deal with the complexity and uncertainty of the world in Multiple-criteria decision-making process, such as the linguistic variable, fuzzy set and so on. However, linguistic concept, as an effective tool to describe human cognition, has both fuzziness and randomness, which cannot be dealt with very well by traditional methods. Cloud Model, the very method to handle both fuzziness and randomness of the linguistic concept, is specially imported into the TOPSIS to solve the fuzziness and randomness in decision-making. In order to achieve the Cloud TOPSIS, the difference of Cloud is proposed; meanwhile PIC (Positive Ideal Cloud) and NIC (Negative Ideal Cloud) are defined. Finally, the method of Cloud TOPSIS is demonstrated applicable and effective, compared with the TOPSIS method based on interval data. The result suggests that the improved model has better distinction degree.
AB - The paper aims to develop an improved MCDM model with cloud TOPSIS method. In the past literature, many methods were used to deal with the complexity and uncertainty of the world in Multiple-criteria decision-making process, such as the linguistic variable, fuzzy set and so on. However, linguistic concept, as an effective tool to describe human cognition, has both fuzziness and randomness, which cannot be dealt with very well by traditional methods. Cloud Model, the very method to handle both fuzziness and randomness of the linguistic concept, is specially imported into the TOPSIS to solve the fuzziness and randomness in decision-making. In order to achieve the Cloud TOPSIS, the difference of Cloud is proposed; meanwhile PIC (Positive Ideal Cloud) and NIC (Negative Ideal Cloud) are defined. Finally, the method of Cloud TOPSIS is demonstrated applicable and effective, compared with the TOPSIS method based on interval data. The result suggests that the improved model has better distinction degree.
KW - Cloud Model
KW - Human Cognition
KW - Linguistic Concept
KW - MCDM
KW - TOPSIS
UR - https://www.scopus.com/pages/publications/84945556797
U2 - 10.1109/CCDC.2015.7162042
DO - 10.1109/CCDC.2015.7162042
M3 - 会议稿件
AN - SCOPUS:84945556797
T3 - Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015
SP - 873
EP - 878
BT - Proceedings of the 2015 27th Chinese Control and Decision Conference, CCDC 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 27th Chinese Control and Decision Conference, CCDC 2015
Y2 - 23 May 2015 through 25 May 2015
ER -