Skip to main content

Weighted Averages in the Ordered Weighted Average Inflation

  • Conference paper
  • First Online:
Fuzzy Techniques: Theory and Applications (IFSA/NAFIPS 2019 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1000))

Included in the following conference series:

  • 695 Accesses

Abstract

This paper presents the ordered weighted average weighted average inflation (OWAWAI). The OWAWAI operator is a new formulation for calculating inflation that provides different criteria for the association between the arguments and weights. OWAWAI presents the possibility to generate new approaches that under- or overestimate the results according to the knowledge and expertise of the decision maker. The works present an approach in Chile inflation.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Beliakov, G., Pradera, A., Calvo, T.: Aggregation Functions: A Guide for practiTioners, vol. 221. Springer, Heidelberg (2007)

    MATH  Google Scholar 

  • Hayat, Z., Balli, F., Rehman, M.: Does inflation bias stabilize real growth? Evidence from Pakistan. J. Policy Model. 40(6), 1083–1103 (2018)

    Article  Google Scholar 

  • Malmendier, U., Nagel, S.: Learning from inflation experiences. Q. J. Econ. 131(1), 53–87 (2015)

    Article  Google Scholar 

  • Merigó, J.M.: A unified model between the weighted average and the induced OWA operator. Expert Syst. Appl. 38(9), 11560–11572 (2011)

    Article  Google Scholar 

  • Merigó, J.M., Palacios-Marqués, D., Soto-Acosta, P.: Distance measures, weighted averages, OWA operators and Bonferroni means. Appl. Soft Comput. 50, 356–366 (2017)

    Article  Google Scholar 

  • Romer, D.: Openness and inflation: theory and evidence. Q. J. Econ. 108(4), 869–903 (1993)

    Article  Google Scholar 

  • Ruge-Murcia, F.J.: The inflation bias when the central bank targets the natural rate of unemployment. Eur. Econ. Rev. 48(1), 91–107 (2004)

    Article  Google Scholar 

  • Torra, V., Narukawa, Y.: Modeling Decisions: Information Fusion and Aggregation Operators. Springer, Heidelberg (2007)

    Book  Google Scholar 

  • Woodford, M., Walsh, C.E.: Interest and prices: foundations of a theory of monetary policy. Macroecon. Dyn. 9(3), 462–468 (2005)

    Article  Google Scholar 

  • Yager, R.R.: On ordered weighted averaging aggregation operators in multicriteria decisionmaking. IEEE Trans. Syst. Man Cybern. 18(1), 183–190 (1988)

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ernesto León-Castro .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

León-Castro, E., Blanco-Mesa, F., Merigó, J.M. (2019). Weighted Averages in the Ordered Weighted Average Inflation. In: Kearfott, R., Batyrshin, I., Reformat, M., Ceberio, M., Kreinovich, V. (eds) Fuzzy Techniques: Theory and Applications. IFSA/NAFIPS 2019 2019. Advances in Intelligent Systems and Computing, vol 1000. Springer, Cham. https://doi.org/10.1007/978-3-030-21920-8_8

Download citation

Publish with us

Policies and ethics