Heavy Heavymoving Average Distances In Sales Forecasting
By:
References
- J. Gil-Aluja.
Elements for a theory of decision in uncertainty , vol. 32, 1999, Springer Science & Business Media. - S. Siddique, U. Ahmad, and M. Akram. “A Decision-Making Analysis with Generalized m- Polar Fuzzy Graphs,”
Journal of Multiple-Valued Logic & Soft Computing , 37, 2021, 533–552. - R. W. Hamming. “Error detecting and error correcting codes,”
The Bell system technical journal , 29(2), 1950, 147–160. - J. M. Merigó, and M. Casanovas. “Induced aggregation operators in the Euclidean distance and its application in financial decision making,”
Expert systems with applications , 38(6), 2011, 7603–7608. - H. Xu, W. Zeng, X. Zeng, and G. G. Yen. “An evolutionary algorithm based on Minkowski distance for many-objective optimization,”
IEEE transactions on cybernetics , 49(11), 2018, 3968–3979. - E. Szmidt, and J. Kacprzyk. “Distances between intuitionistic fuzzy sets,”
Fuzzy sets and systems , 114(3), 2000, 505–518. - J. Bae, L. Liu, J. Caverlee, and W. B. Rouse.
Process mining, discovery, and integration using distance measures , 2006, 479–488. - A. Kaufmann, J. G. Aluja, and J. M. F. Pirla.
Introducción de la teoría de los subconjuntos borrosos a la gestión de las empresas , 1986, Milladoiro. - V. G. Alfaro-Garcia, J. M. Merigó, A. M. Gil-Lafuente, and J. Kacprzyk. “Logarithmic aggregation operators and distance measures,”
International Journal of Intelligent Systems , 33(7), 2018, 1488–1506. - E. Avilés-Ochoa, E. León-Castro, L. A. Perez-Arellano, and J. M. Merigó. “Government transparency measurement through prioritized distance operators,”
Journal of Intelligent & Fuzzy Systems , 34(4), 2018, 2783–2794. - F. Blanco-Mesa, J. M. Merigó, and J. Kacprzyk. “Bonferroni means with distance measures and the adequacy coefficient in entrepreneurial group theory,”
Knowledge-Based Systems , 111, 2016, 217–227. - L. A. Perez-Arellano, F. Blanco-Mesa, E. Leon- Castro, and V. Alfaro-Garcia. “Bonferroni prioritized aggregation operators applied to government transparency,”
Mathematics , 9(1), 2021, 24. - W. Su, S. Zeng, and X. Ye. “Uncertain group decision-making with induced aggregation operators and Euclidean distance,”
Technological and Economic Development of Economy , 19(3), 2013, 431–447. - G. Selvachandran, P. K. Maji, R. Q. Faisal, and A. Razak Salleh. “Distance and distance induced intuitionistic entropy of generalized intuitionistic fuzzy soft sets,”
Applied Intelligence , 47(1), 2017, 132–147. - J. M. Merigó, and M. Casanovas. “Induced aggregation operators in the Euclidean distance and its application in financial decision making,”
Expert systems with applications , 38(6), 2011, 7603–7608. - B. Juang, and L. R. Rabiner. “A probabilistic distance measure for hidden Markov models,”
AT&T technical journal , 64(2), 1985, 391–408. - R. Şahin, and G. D. Küçük. “Group decision making with simplified neutrosophic ordered weighted distance operator,”
Mathematical Methods in the Applied Sciences , 41(12), 2018, 4795–4809. - D.-H. Peng, T.-D. Wang, C.-Y. Gao, and H. Wang. “Enhancing relative ratio method for MCDM via attitudinal distance measures of intervalvalued hesitant fuzzy sets,”
International Journal of Machine Learning and Cybernetics , 8(4), 2017, 1347–1368. - S. Xian, and W. Sun. “Fuzzy linguistic induced Euclidean OWA distance operator and its application in group linguistic decision making,”
International Journal of Intelligent Systems , 29(5), 2014, 478–491. - R. R. Yager. “On ordered weighted averaging aggregation operators in multicriteria decisionmaking,”
IEEE Transactions on Systems, Man, and Cybernetics , 18(1), 1988, 183–190. - J. Kacprzyk, R. R. Yager, and J. M. Merigo. “Towards human-centric aggregation via ordered weighted aggregation operators and linguistic data summaries: A new perspective on Zadeh’s inspirations,”
IEEE Computational Intelligence Magazine , 14(1), 2019, 16–30. - J. Kacprzyk, and S. Zadrożny. “Towards a general and unified characterization of individual and collective choice functions under fuzzy and nonfuzzy preferences and majority via the ordered weighted average operators,”
International Journal of Intelligent Systems , 24(1), 2009, 4–26. - G. Beliakov, H. B. Sola, and T. C. Sánchez.
A practical guide to averaging functions , 2016, Springer. - L. Canós, and V. Liern. “Soft computing-based aggregation methods for human resource management,”
European Journal of Operational Research , 189(3), 2008, 669–681. - C.-H. Cheng, J.-W. Wang, and M.-C. Wu. “OWAweighted based clustering method for classification problem,”
Expert Systems with Applications , 36(3), 2009, 4988–4995. - M. Bernal, P. Anselmo Alvarez, M. Muñoz, E. Leon-Castro, and D. A. Gastelum-Chavira. “A multicriteria hierarchical approach for portfolio selection in a stock exchange,”
Journal of Intelligent & Fuzzy Systems , 40(2), 2021, 1945–1955. - M. Muñoz-Palma, P. A. Alvarez-Carrillo, E. L. Miranda-Espinoza, E. Avilés-Ochoa, and E. León-Castro, E. (2021). “Multicriteria Analysis Model for the Evaluation of the Competitiveness of the States in Mexico.” In
Intelligent and Complex Systems in Economics and Business (pp. 1–20), 2021, Springer. - M. Olazabal-Lugo, E. Leon-Castro, L. F. Espinoza- Audelo, J. Maria Merigo, and A. M. Gil Lafuente. “Forgotten effects and heavy moving averages in exchange rate forecasting,”
Economic Computation & Economic Cybernetics Studies & Research , 53(4), 2019. - E. León-Castro, E. Avilés-Ochoa, and J. M. Merigó. “Induced heavy moving averages,”
International Journal of Intelligent Systems , 33(9), 2018, 1823–1839. - V. Scherger, A. Terceño, and H. Vigier. “The OWA distance operator and its application in business failure,”
Kybernetes , 2017. - L. Jin and R. Mesiar. “The metric space of ordered weighted average operators with distance based on accumulated entries,”
International Journal of Intelligent Systems , 32(7), 2017, 665–675. - R. R. Yager. “Heavy OWA operators,”
Fuzzy optimization and decision making , 1(4), 2002, 379–397. - L. Espinoza-Audelo, E. Aviles-Ochoa, E. Leon-Castro, and F. Blanco-Mesa. “Forecasting performance of exchange rate models with heavy moving average operators,”
Fuzzy Economic Review , 24(2), 2019. - M. K. Evans.
Practical business forecasting , John Wiley & Sons, 2002. - R. R. Yager, and J. Kacprzyk.
The ordered weighted averaging operators: Theory and applications . Springer Science & Business Media, 2012. - J. M. Merigo, and R. R. Yager. “Generalized moving averages, distance measures and OWA operators.”
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems , 21(04), 2013, 533–559. - J. Kenney.
Moving Averages . Princeton: Van Nostrand, 1962. - E. León-Castro, E. Avilés-Ochoa, and A. M. Gil Lafuente. “Exchange rate USD/MXN forecast through econometric models, time series and HOWMA operators,”
Economic Computation and Economic Cybernetics Studies and Research , 50(40), 2016, 135–150. - S. Zeng, W. Su, and A. Le. “Fuzzy generalized ordered weighted averaging distance operator and its application to decision making,”
International Journal of Fuzzy Systems , 14(3), 2012, 402–412. - L. Zhou, H. Chen, and J. Liu. “Generalized logarithmic proportional averaging operators and their applications to group decision making”,
Knowledge Based Systems , 36, 2012, 268–279. - R. R. Yager. “Families of OWA operators”,
Fuzzy Sets and Systems , 59(2), 1993, 125–148. - J. M. Merigó, and A. M. Gil-Lafuente. “The induced generalized OWA operator,”
Information Sciences , 179(6), 2009, 729–741. - E. Anderson, and R. L. Oliver. “Perspectives on behavior-based versus outcome-based salesforce control systems.”
Journal of Marketing , 51(4), 1987, 76–88. - C. F. Miao, and K. R. Evans. “The interactive effects of sales control systems on salesperson performance: A job demands–resources perspective,”
Journal of the Academy of Marketing Science , 41(1), 2013, 73–90. - D. Baez-Palencia, M. Olazabal-Lugo, and J. Romero-Muñoz. “Toma de decisiones empresariales a través de la media ordenada ponderada.”
Inquietud Empresarial , 19(2), 2019, 11–23. - L. F. Espinoza-Audelo, E. León-Castro, M. Olazabal-Lugo, J. M. Merigó, and A. M. Gil-Lafuente. “Using Ordered Weighted Average for Weighted Averages Inflation,”
International Journal of Information Technology & Decision Making (IJITDM) , 19(02), 2020, 601–628. - M. G. Velazquez-Cazares, A. M. Gil-Lafuente, E. Leon-Castro, and F. Blanco-Mesa. “Innovation capabilities measurement using fuzzy methodologies: A Colombian SMEs case,”
Computational and Mathematical Organization Theory , 27, 2021, 384–413. - M. Fedrizzi, and J. Kacprzyk. “An interactive multi-user decision support system for consensus reaching processes using fuzzy logic with linguistic quantifiers.”
Decision Support Systems , 4(3), 1988, 313–327. - E. Szmidt, and J. Kacprzyk. “A consensusreaching process under intuitionistic fuzzy preference relations,”
International Journal of Intelligent Systems , 18(7), 2003, 837–852.
Language: English
Page range: 18 - 27
Submitted on: Mar 16, 2023
Accepted on: Jul 20, 2023
Published on: Jan 26, 2024
Published by: Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
In partnership with: Paradigm Publishing Services
Publication frequency: 4 times per year
Related subjects:
© 2024 Maricruz Olazabal-Lugo, Luis F. Espinoza-Audelo, Ernesto León-Castro, Luis A. Perez-Arellano, Fabio Blanco-Mesa, published by Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.