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
Extending multicriteria decision making by mixing t-norms and OWA operators
โ 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
No coin nor oath required. For personal study only.
โฆ 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.
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