Skip to main content
SpringerLink
Log in

Fuzzy expertise and its application to R & D management

  • Published:
Scientometrics Aims and scope Submit manuscript

Abstract

Applications of fuzzy set theory to various problems of data processing influenced greatly the analysis of expert opinion results. The authors developed models based on the fuzzy set concept for expert assessments using quantitative and qualitative scales typical in R & D management. The approach is illustrated by the solution of the problem of ranking of the factors influencing practical applications of research results.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. E. JANTSCH,Technological Forecasting, Progress, Moscow, 1974, 392 p. (in Russian).

    Google Scholar 

  2. G. M. DOBROV et al.,Expert Estimations in Technological Forecasting, Naukova dumka, Kiev, 1974, 160 p. (in Russian).

    Google Scholar 

  3. A. KAUFMANN,Introduction to the Theory of Fuzzy Subsets, Academic Press, N. Y., 1975. 416 p.

    Google Scholar 

  4. R. YAGER (Ed.),Fuzzy Sets and Possibility Theory (Recent Developments), Radio i svyaz', Moscow, 1986, 406 p. (in Russian).

    Google Scholar 

  5. I. PFANZAGL,Theory of Measurement, Mir, Moscow, 1976, 248 p. (in Russian).

    Google Scholar 

  6. A. V. SKOFENKO, On construction of membership functions related to quantitative expert estimations, (in Russian),Naukovedenie i Informatika, 22 (1981) 70.

    Google Scholar 

  7. G. DAVID Method of,Paired Comparisons, Statistika, Moscow, 1978, 744 p. (in Russian).

    Google Scholar 

  8. D. DUBOIS, H. PRADE, Operations in a fuzzy-valued logic,Information and Control, 43 (2) (1979) 224.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Center for Scientific and Technological Potential and Science History Studies, Academy of Sciences of the Ukrainian SSR, Shevchenko Boulevard, 60, 252032, Kiev, USSR

    G. Dobrov & A. Skofenko

Authors
  1. G. Dobrov
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. A. Skofenko
    View author publications

    You can also search for this author in PubMed Google Scholar

Rights and permissions

Reprints and permissions

About this article

Cite this article

Dobrov, G., Skofenko, A. Fuzzy expertise and its application to R & D management. Scientometrics 15, 21–31 (1989). https://doi.org/10.1007/BF02021796

Download citation

  • Received:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02021796

Keywords

Search

Navigation