FORECASTING THE REAL AVERAGE RETIREMENT BENEFIT IN THE UNITED STATES USING OWA OPERATORS
提出基于有序加权平均算子的OWARAP模型，考虑价格变化预测美国各州退休工人实际平均社保福利，并通过诱导变量、广义均值和概率扩展，验证其在退休决策中的实用性。
The issue of pensions has become increasingly topical. This paper presents the ordered weighted averaging real average pension (OWARAP) operator. The OWARAP operator is based on the ordered weighted averaging (OWA) operator and calculates the future average retirement benefit taking into account price changes. Moreover, this work extends the OWARAP operator by using order-inducing variables, generalized means, and probabilities. This paper ends by analyzing the applicability of the OWARAP operator and its extensions in forecasting the real average Social Security benefits for retired workers in each state of the United States (U.S.). The results demonstrate the usefulness of the proposed approach in retirement decision making.