Skip to main content

A Grid-Based Optimization Algorithm for Parameters Elicitation in WOWA Operators: An Application to Risk Assesment

  • Chapter
Advances in Neural Networks: Computational and Theoretical Issues

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 37))

Abstract

In this paper we propose a joint grid-based and stochastic search for parameters elicitation in the case of WOWA aggregation functions. The method uses a grid search approach to determine the parameter of a monotonic quantifier, and for each of the values, a stochastic search in the space of the criteria weights minimizes the sum of the quadratic error between the computed and the real output of a learning set. A simulated application is proposed in the case of transportation risk assessment, using an ad hoc questionnaire applied to risk matrices.

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 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Beliakov, G., Pradera, A., Calvo, T.: Aggregation Functions: a guide for practitioners. STUDFUZZ, vol. 221. Springer, Heidelberg (2007)

    Google Scholar 

  2. Calvo, T., Mayor, G., Mesiar, R.: Aggregation Operators: new trends and applications. STUDFUZZ, vol. 91. Springer, Heidelberg (2002)

    Book  Google Scholar 

  3. Filev, D., Yager, R.R.: On the issue of obtaining OWA operator weights. Fuzzy Sets and Systems 94, 157–169 (1998)

    Article  MathSciNet  Google Scholar 

  4. Grabisch, M., Roubens, M.: Application of the Choquet integral in multicriteria decision making. In: Grabisch, M., Murofushi, T., Sugeno, M. (eds.) Fuzzy Measures and Integrals Theory and Applications, pp. 348–374. Physica Verlag (2000)

    Google Scholar 

  5. Henningsen, A., Henningsen, G.: Om estimation of the CES production function - Revisited. Economic Letters 115, 67–69 (2012)

    Article  Google Scholar 

  6. Klement, E.P., Mesiar, R., Pap, E.: Triangular Norms. Kluwer Academic Publishers (2000)

    Google Scholar 

  7. Llamazares, B.: On generalization of weighet means and OWA operators. In: Proc. of EUSLAT-LFA 2011 (2011)

    Google Scholar 

  8. Marichal, J.: An axiomatic approach of the discrete Choquet integral as a tool to aggregate interacting criteria. The IEEE Transactions on Fuzzy Systems 8(6), 800–807 (2000)

    Article  MathSciNet  Google Scholar 

  9. Palomares, I.: Applying OWA Operators and RIM Quantifiers to measure Consensus with Large Group of Experts. In: Proc. 6th International Summer School on Aggregation Operators - AGOP 2011 (2011)

    Google Scholar 

  10. Pérez, R., Alonso, P., Daz, I., Montes, S.: Aggregation of Risk Assesment Matrices for Umnao Reliability in Transportation Systems. In: De Baets, B., Fodor, J., Montes, S. (eds.) Proc. of EUROFUSE20- Uncertainty and Imprecision Modelling in Decision Making, pp. 225–232. Ediciones de la Universidad de Oviedo (2013)

    Google Scholar 

  11. Pinar, M., Cruciani, C., Giove, S., Sostero, M.: Constructing the FEEM sustainability index: A Choquet integral application. Ecological Indicator 39, 189–202 (2014)

    Article  Google Scholar 

  12. Torra, V., Lv, Z.: On the WOWA operator and its interpolation function. International Journal of Intelligent Systems 24, 1039–1056 (2009)

    Article  MATH  Google Scholar 

  13. Torra, V.: The weighted OWA operator. International Journal of Intelligent Systems 12, 153–166 (1997)

    Article  MATH  Google Scholar 

  14. Torra, V., Narukawa, Y.: Modeling Decisions. Springer (2007)

    Google Scholar 

  15. Yager, R.R.: On ordered weighted averaging aggregation operators in multicriteria decision making. IEEE Trans. on Systems, Man and Cybernetics 18, 183–190 (1988)

    Article  MATH  MathSciNet  Google Scholar 

  16. Yager, R.R.: Applications and extensions of OWA aggregation, Internat. Journal Man Machine Studies 37, 103–132 (1992)

    Article  Google Scholar 

  17. Yager, R.R.: Families of OWA operators. Fuzzy Sets and Systems 59, 125–148 (1993)

    Article  MATH  MathSciNet  Google Scholar 

  18. Yager, R.R., Kacprzyk, J. (eds.): The ordered Weighted Averaging Operators, Theory and Applications. Kluwer Academic Publisher (1997)

    Google Scholar 

  19. Yager, R.R.: Quantifier guided aggregation using OWA operators. International Journal of Intelligent Systems 11, 49–73 (1996)

    Article  Google Scholar 

  20. Yager, R.R., Kacprzyk, J., Beliakov, G. (eds.): Recent Developments in the Ordered Weighted Averaging Operators: Theory and Practice. STUDFUZZ, vol. 265. Springer, Heidelberg (2011)

    Google Scholar 

  21. Xu, Z.S., Da An, Q.L.: overview of operators for aggregation informations. International Journal of Intelligent Systems 18, 953–969 (2003)

    Article  MATH  Google Scholar 

  22. Wang, Y.M., Parkan, C.: A minimax disparity approach for obtaining OWA operator weights. Inform. Sci. 175, 20–29 (2005)

    Article  MATH  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Cardin, M., Giove, S. (2015). A Grid-Based Optimization Algorithm for Parameters Elicitation in WOWA Operators: An Application to Risk Assesment. In: Bassis, S., Esposito, A., Morabito, F. (eds) Advances in Neural Networks: Computational and Theoretical Issues. Smart Innovation, Systems and Technologies, vol 37. Springer, Cham. https://doi.org/10.1007/978-3-319-18164-6_20

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-18164-6_20

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-18163-9

  • Online ISBN: 978-3-319-18164-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics