BONFERRONI DISTANCES WITH HYBRID WEIGHTED DISTANCE AND IMMEDIATE WEIGHTED DISTANCE
F. Blanco-Mesa. School of Business Administration, Faculty of Economic and Administrative Science, Pedagogical and Technological University of Colombia, North Central Avenue 39-115, 150001, Tunja, Boyacá, Colombia
J.M. Merigó. Department of Management Control and Information Systems, School of Economics and Business, University of Chile, Av. Diagonal Paraguay 257, 8330015, Santiago Chile.
- Fuzzy Economic Review: Volume 22, Number 2, 2017
- DOI: 10.25102/fer.2017.02.02
Abstract
The aim of the paper is to develop new aggregation operators using Bonferroni means, ordered weighted averaging (OWA) operators and some measures of distance. We introduce the Bonferroni Hybrid-weighted distance (BON-HWD), and Bonferroni distances with OWA operators and weighted averages (BON-IWOWAD). The main advantages of using these operators are that they allow the consideration of different aggregations contexts to be considered and multiple-comparison between each argument and distance measures in the same formulation. We develop a mathematical application to show the versatility of new models. Finally, this new group of family distances can be used in a wide range of management and economic fields.