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Your search keyword '"Anna Maria Gil-Lafuente"' showing total 90 results
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90 results on '"Anna Maria Gil-Lafuente"'

1. Forecasting the real average retirement benefit in the United States using OWA operators

Author

Anton Figuerola-Wischke and Anna Maria Gil-Lafuente

Subjects
aggregation operator, forecasting, inflation, OWA operator, retirement benefit, Social Security, Economic growth, development, planning, HD72-88, Business, HF5001-6182
Abstract

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. First published online 30 April 2024

Published
2024
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2. Fuzzy Branch-and-Bound Algorithm with OWA Operators in the Case of Consumer Decision Making

Author

Emili Vizuete-Luciano, Sefa Boria-Reverter, José M. Merigó-Lindahl, Anna Maria Gil-Lafuente, and Maria Luisa Solé-Moro

Subjects
branch-and-bound algorithm, consumer decision making, distance, OWA operator, aggregation operators, Mathematics, QA1-939
Abstract

The ordered weighted averaging (OWA) operator is one of the most used techniques in the operator’s aggregation procedure. This paper proposes a new assignment algorithm by using the OWA operator and different extensions of it in the Branch-and-bound algorithm. The process is based on the use of the ordered weighted average distance operator (OWAD) and the induced OWAD operator (IOWAD). We present it as the Branch-and-bound algorithm with the OWAD operator (BBAOWAD) and the Branch-and-bound algorithm with the IOWAD operator (BBAIOWAD). The main advantage of this approach is that we can obtain more detailed information by obtaining a parameterized family of aggregation operators. The application of the new algorithm is developed in a consumer decision-making model in the city of Barcelona regarding the selection of groceries by districts that best suit their needs. We rely on the opinion of local commerce experts in the city. The key advantage of this approach is that we can consider different sources of information independent of each other.

Published
2021
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