Skip to main content

Part of the book series: Theory and Decision Library ((TDLB,volume 18))

Abstract

A new order relation is analyzed by applying consensus procedures and is developed in a fuzzy environment.

Such an order is then generalized to stochastic fuzzy decisions for economic and financial alternatives.

Some remarks on fuzzy generalized concavity are finally added.

The paper has been partially supported by the National Research Council and the Italian Ministery of Education.

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 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
Hardcover Book
USD 219.99
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

  • Castagnoli E. and Mazzoleni P. (1988) Scalar and vector generalized concavity, in Proceed, International School “Nonsmooth optimization and related topics” Erice (Tp) Plenum Press New York.

    Google Scholar 

  • Castagnoli E. (1989) Qualche riflessione sull’utilità attesa, in Proceed. XIII Meeting of the Italian Association AMASES, Verona September 13–15.

    Google Scholar 

  • Chen C. Q., Lee S. C. and Yu E. S. H. (1983)Application of fuzzy set theory to economics in Wang (1983) pp. 227–305.

    Google Scholar 

  • Czogala E. and Disney P. L. (1988) Decision making in a probabilistic fuzzy environment, in Kacpryzk and Fedrizzi ( 1988b ) pp. 215–226.

    Google Scholar 

  • Delgado M., Verdegay J. L. and Vila M. A. (1988) A procedure for ranking fuzzy number using fuzzy relations, Fuzzy Sets and Systems 26, 49–62.

    Article  Google Scholar 

  • Dubois D. and Prade H. (1988) Decision evaluation methods under uncertainity and imprecision, in Kacprzyk and Fedrizzi ( 1988 ), 48–65.

    Google Scholar 

  • Hardy C. H., Littlewood J. E. and Polya G. (1967) Inequalities, Cambridge Univ. Press.

    Google Scholar 

  • Kacprzyk J. and Fedrizzi M. (1988a) A “soft” measure of consensus in the setting of partial “fuzzy” preferences, EJOR 34, 316–325.

    Article  Google Scholar 

  • Kacprzyk and Fedrizzi M. (Eds.) (1988b) Combining Fuzzy Imprecision with Probabilistic Uncertainity in Decision Making. Springer Verlag, Berlin.

    Google Scholar 

  • Slyadz N. N. and Borisov A. N. (1988) Decision making based on fuzzy stochastic and statistical dominance, in Kacprzyk and Fedrizzi M. (1988b) 197–214.

    Google Scholar 

  • Wang P. P., (ed.) (1983) Advanced in Fuzzy Sets, Possibility Theory and Applications, Plenum, New York.

    Google Scholar 

  • Wrather C. and Yu P. L. (1982) Probability dominance in random outcomes, JOTA 36, 315–334.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1990 Kluwer Academic Publishers

About this chapter

Cite this chapter

Mazzoleni, P. (1990). Consensus Measures for Qualitative Order Relations. In: Kacprzyk, J., Fedrizzi, M. (eds) Multiperson Decision Making Models Using Fuzzy Sets and Possibility Theory. Theory and Decision Library, vol 18. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-2109-2_19

Download citation

  • DOI: https://doi.org/10.1007/978-94-009-2109-2_19

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-7448-3

  • Online ISBN: 978-94-009-2109-2

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics