on owa linear operators for decision making

When we deal with problems of decision making where we need to give an order of alternatives and the rewards (number of points earned in a race) are not associated with the criteria, but with positions, it makes sense to deal with ordered weighted averaging (owa) operators. within the class of owa operators we can consider those that are based on a linear function. this paper is related to a study of the properties that verify the linear functions set. taking these properties into account we shall see how the final classification for drivers in formula one changes when the number of points earned in a race is given by means of a linear function as opposed to the current assignments. © 2018, © 2018 the author(s). published by taylor & francis group on behalf of the fuzzy information and engineering branch of the operations research society of china & operations research society of guangdong province.