Innovative reliability allocation using the maximal entropy ordered weighted averaging method

2009 ◽  
Vol 57 (4) ◽  
pp. 1274-1281 ◽  
Author(s):  
Yung-Chia Chang ◽  
Kuie-Hu Chang ◽  
Cheng-Shih Liaw
Keyword(s):  
Averaging Method ◽  
Weighted Averaging ◽  
Maximal Entropy ◽  
Reliability Allocation ◽  
Ordered Weighted Averaging

MCDM AGGREGATION MODEL USING SITUATIONAL ME-OWA AND ME-OWGA OPERATORS

2006 ◽  
Vol 14 (04) ◽  
pp. 421-443 ◽  
Author(s):  
CHING-HSUE CHENG ◽  
JING-RONG CHANG
Keyword(s):  
Multiple Criteria Decision Making ◽  
Aggregation Operators ◽  
Weighted Averaging ◽  
Maximal Entropy ◽  
Averaging Operators ◽  
Aggregation Model ◽  
Ordered Weighted Averaging ◽  
Proposed Model ◽  
Desalination Technology

OWA (Ordered Weighted Averaging) aggregation operators have been extensively adopted to handle MCDM (multiple criteria decision making) problems. However, additive or multiplicative preferences should be aggregated with feasible operators. To resolve this problem, this study proposes a new MCDM aggregation model, capable of handling situational group MCDM problems based on the ME-OWA (maximal entropy ordered weighted averaging) and ME-OWGA (maximal entropy ordered weighted geometric averaging) operators. The proposed model is also applied not only to evaluate the service quality of airlines but also select the most appropriate desalination technology. The results of previous MCDM methods can be covered with proposed model.

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