Using Fuzzy c-Regression Approach to Obtain Stress Functions for OWA Operators

TEZEL B. T., NASİBOĞLU R., Nasibov E.

2017 International Conference on Computer Science and Engineering (UBMK), Antalya, Turkey, 5 - 08 October 2017, pp.528-531 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/ubmk.2017.8093452
  • City: Antalya
  • Country: Turkey
  • Page Numbers: pp.528-531
  • Keywords: FCRIII algorithm, OWA operator, stress functions, AGGREGATION OPERATORS, WEIGHTS, REPRESENTATION, RETRIEVAL
  • Dokuz Eylül University Affiliated: Yes

Abstract

OWA (Ordered Weighted Averaging) operator provides a general class of parameterized mean type aggregation operators. It is an important tool, having ability to reflect the strategy of a Decision Maker in decision making problems. The idea of using a stress function to generate the OWA weights was introduced in this study. We introduce a new fuzzy c-regression models (FCRM) based approach to obtain stress function for generalization of OWA weights. This generalization was realized by using FCRM as learning method to a stress function which is related the known OWA weights.