Title :
Orness Measure of OWA Operators: A New Approach
Author :
Kishor, Amar ; Singh, A.K. ; Pal, Nikhil R.
Author_Institution :
Dept. of Electron. & Commun., Indian Stat. Inst., Kolkata, India
Abstract :
The ordered weighted averaging (OWA) operators are an extensively used class of aggregation operators. The weight vector that is associated with an OWA can determine the attitudinal characters of the aggregation. One of these characterizing measures is called the orness measure. The aim of this paper is to introduce orness measures in an axiomatic framework and to propose an alternate definition of orness that is based on these axioms. The proposed orness measure satisfies a more generalized set of axioms than Yager´s orness measure. We further calculate the maximum Shannon´s entropy of the OWA operator corresponding to a fixed value of orness of our proposed measure as well as of Yager´s orness. For a given level of orness, the maximum entropy corresponding to the proposed orness measure, is more than that of Yager´s. This suggests that the proposed measure is a more plausible one.
Keywords :
mathematical operators; maximum entropy methods; sensor fusion; Information fusion; OWA operators; Pager orness measure; aggregation operators; attitudinal character determination; axiomatic framework; information aggregation; maximum Shannon entropy; ordered weighted averaging operators; Entropy; Information retrieval; Open wireless architecture; Optimization; Q measurement; Vectors; Weight measurement; Aggregation operators; maximum entropy; ordered weighted averaging (OWA) operator; orness;
Journal_Title :
Fuzzy Systems, IEEE Transactions on
DOI :
10.1109/TFUZZ.2013.2282299