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Extending multicriteria decision making by mixing t-norms and OWA operators

โœ Scribed by Ronald R. Yager


Book ID
102279914
Publisher
John Wiley and Sons
Year
2005
Tongue
English
Weight
171 KB
Volume
20
Category
Article
ISSN
0884-8173

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โœฆ Synopsis


We consider the problem of multicriteria decision making. We indicate how the evaluation of an alternative involves a determination of the degree to which subsets of criteria are satisfied by the alternative. This calculation is based upon an anding of the satisfactions of the individual criteria in the subsets. We consider the possibility of using t-norms other than the Min for the and operation. Using this generalization we develop an extension of the OWA operators, called the TOWA, which involves a mixing of the t-norm with the OWA operator. We extend this generalization to other aggregation techniques, the Choquet and Sugeno integrals. We introduce the concept of the Power of a t-norm to provide an ordering over the t-norm operators. We look at Power of a number of families of t-norm.


๐Ÿ“œ SIMILAR VOLUMES


On aggregating uncertain information by
โœ Shang-Ming Zhou; Robert I. John; Francisco Chiclana; Jonathan M. Garibaldi ๐Ÿ“‚ Article ๐Ÿ“… 2010 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 416 KB

Yager's ordered weighted averaging (OWA) operator has been widely used in soft decision making to aggregate experts' individual opinions or preferences for achieving an overall decision. The traditional Yager's OWA operator focuses exclusively on the aggregation of crisp numbers. However, human expe