Heavy moving average distances in sales forecasting

• Autorzy: Olazabal-Lugo Maricruz , Espinoza-Audelo Luis F. , León-Castro Ernesto , Perez-Arellano Luis A. , Blanco-Mesa Fabio

Identyfikatory

DOI

10.14313/JAMRIS/2‐2023/12

• Języki publikacji: EN

Abstrakty

EN

This paper presents a new aggregation operator tech‐ nique 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 over‐ estimate the results according to the expectations and the knowledge of the future scenarios, analyze the his‐ torical data of the moving average, and compare the different alternatives with the ideal results of the dis‐ tance measures. Some of the main families and specific cases using generalized and quasi‐arithmetic means are presented, such as the generalized heavy moving aver‐ age 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.

Słowa kluczowe

EN

heavy moving average distance; OWA operator; distance measures; sales forecasting

• Wydawca: Łukasiewicz Industrial Research Institute for Automation and Measurements PIAP
• Czasopismo: Journal of Automation Mobile Robotics and Intelligent Systems
• Rocznik: 2023
• Tom: Vol. 17, No. 2
• Strony: 18--27
• Opis fizyczny: Bibliogr. 49 poz., rys.

Twórcy

autor

Olazabal-Lugo Maricruz

• Unidad Regional Culiacán, Universidad Autónoma de Occidente, Culiacán, Sinaloa, México

autor

Espinoza-Audelo Luis F.

• Tecnológico Nacional de México/Instituto Tecnológico de Culiacán, Sinaloa, México

autor

León-Castro Ernesto

• Faculty of Economics and Administrative Sciences, Universidad Católica de la Santísima Concepción, Concepción, Chile

autor

Perez-Arellano Luis A.

• Facultad de Psicología, Universidad Autónoma de Sinaloa, Culiacán, Sinaloa, Mexico

autor

Blanco-Mesa Fabio

• Facultad de Ciencias Económicas y Administrativas, Escuela de Administración de Empresas, Universidad Pedagógica y Tecnológica de Colombia, Av. Central del Norte, 39‐115, 150001, Tunja, Colombia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).