<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This paper presents a new aggregation operator technique that uses the ordered weighted average (OWA), heavy aggregation operators, Hamming distance, and moving averages. This approach is called heavy ordered weighted moving average distance (HOWMAD). The main advantage of this operator is that it can use the characteristics of the HOWMA operator to under-or overestimate the results according to the expectations and the knowledge of the future scenarios, analyze the historical data of the moving average, and compare the different alternatives with the ideal results of the distance measures. Some of the main families and specific cases using generalized and quasi-arithmetic means are presented, such as the generalized heavy moving average distance and a generalized HOWMAD. This study develops an application of this operator in forecasting the sales growth rate for a commercial company. We find that it is possible to determine whether the company’s objectives can be achieved or must be reevaluated in response to the actual situation and future expectations of the enterprise.</p>
</abstract>

This paper presents a new aggregation operator technique that uses the ordered weighted average (OWA), heavy aggregation operators, Hamming distance, and moving averages. This approach is called heavy ordered weighted moving average distance (HOWMAD). The main advantage of this operator is that it can use the characteristics of the HOWMA operator to under-or overestimate the results according to the expectations and the knowledge of the future scenarios, analyze the historical data of the moving average, and compare the different alternatives with the ideal results of the distance measures. Some of the main families and specific cases using generalized and quasi-arithmetic means are presented, such as the generalized heavy moving average distance and a generalized HOWMAD. This study develops an application of this operator in forecasting the sales growth rate for a commercial company. We find that it is possible to determine whether the company’s objectives can be achieved or must be reevaluated in response to the actual situation and future expectations of the enterprise.

Heavy Heavymoving Average Distances In Sales Forecasting

Universidad Católica de la Santísima Concepción

Universidad Pedagógica y Tecnológica de Colombia

Journal of Automation, Mobile Robotics and Intelligent Systems

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Heavy Heavymoving Average Distances In Sales Forecasting"}

This paper presents a new aggregation operator technique that uses the ordered weighted average (OWA), heavy aggregation operators, Hamming distance, and...

Heavy Heavymoving Average Distances In Sales Forecasting

Publié en ligne: 26 janv. 2024

Pages: 18 - 27

Reçu: 16 mars 2023

Accepté: 20 juil. 2023

DOI: https://doi.org/10.14313/jamris/2-2023/12

Mots clés
Heavy moving average distance, OWA operator, Distance measures, Sales forecasting

© 2023 Maricruz Olazabal-Lugo et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Heavy Heavymoving Average Distances In Sales Forecasting

Publié en ligne: 26 janv. 2024

Pages: 18 - 27

Reçu: 16 mars 2023

Accepté: 20 juil. 2023

DOI: https://doi.org/10.14313/jamris/2-2023/12

Mots clésHeavy moving average distance, OWA operator, Distance measures, Sales forecasting

© 2023 Maricruz Olazabal-Lugo et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Mots clés
Heavy moving average distance, OWA operator, Distance measures, Sales forecasting