Beliakov, Gleb and James, Simon 2011, Induced ordered weighted averaging operators. In Yager, Ronald R., Kacprzyk, Janusz and Beliakov, Gleb (ed), Recent developments in the ordered weighted averaging operators : theory and practice, Springer-Verlag, Berlin, Germany, pp.29-47.
Since the introduction of the ordered weighted averaging operator , the OWA has received great attention with applications in fields including decision making, recommender systems [8, 21], classification  and data mining  among others. The most important step in the calculation of the OWA is the permutation of the input vector according to the size of its arguments. In some applications, it makes sense that the inputs be reordered by values different to those used in calculation. For instance, if we have a number of mobile sensor readings, we may wish to allocate more importance to the reading taken from the sensor closest to us at a given point in time, rather than the largest reading.
Field of Research
080108 Neural, Evolutionary and Fuzzy Computation
Socio Economic Objective
970108 Expanding Knowledge in the Information and Computing Sciences
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