An analytical study of ordered weighted geometric averaging operator on web data set as a MCDM problem

Abstract

Ordered weighted aggregation operators were introduced in the year 1988 and since then have been used in a wide variety of applications. This paper is an attempt to use a special variant of OWA operator—ordered weighted geometric averaging operator for regression analysis. Regression analysis is used to formulate a suitable business model based on the past performances of the company/organization and is an integral component of data mining techniques. Various regression algorithms have been proposed in the literature. In this paper, a multi-criteria decision-making problem is being formulated using some of these regression algorithms on a real-time industrial web data followed by the analysis of using one the OWA operators on its results.