Title :
Harmonic Mean Operators for Aggregating Linguistic Information
Author_Institution :
Coll. of Econ. & Manage., Southeast Univ., Nanjing
Abstract :
Harmonic mean is widely used to aggregate central tendency data, which is usually expressed in exact numerical values. In this paper, we investigate the situations where the input data are given in the form of linguistic labels, and develop some linguistic harmonic mean aggregation operators, such as the linguistic weighted harmonic mean (LWHM) operator, the linguistic ordered weighted harmonic mean (LOWHM) operator, and the linguistic hybrid harmonic mean (LHHM) operator for aggregating linguistic information. Some examples are given to illustrate the developed operators.
Keywords :
computational linguistics; harmonic mean operators; linguistic information; linguistic labels; Aggregates; Conference management; Decision making; Educational institutions; Environmental economics; Open wireless architecture; Scholarships; Harmonic mean; linguistic hybrid harmonic mean (LHHM) operator; linguistic ordered weighted harmonic mean (LOWHM) operator; linguistic weighted harmonic mean (LWHM) operator;
Conference_Titel :
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-0-7695-3304-9
DOI :
10.1109/ICNC.2008.887