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Fuzzy multicriteria decision support for budget allocation in the transport sector

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Summary

This paper compares two ways of providing decision support for the allocation of a fixed financial budget among a set of competing highway investment proposals. The first, which is described only in outline, uses a broadly conventional, hierarchically structured linear additive multicriteria model. The technical focus of the paper, however, is on the second, and approach based in fuzzy multicriteria modelling. The thinking which led us to explore this approach is set out, together with the formal structure of the model. The results of a small case study are given and an assessment is made of how decision makers' understanding of the investment options available can be enhanced by using the two models in tandem.

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References

  • Brans, J.P. and B. Mareschal (1992). PROMETHEE V; MCDM problems with segmentation constraints;INFOR, vol.30, 85–96.

    Google Scholar 

  • Brans, J.P. and B. Mareschal. The PROMETHEE-GAIA decision support system for multicriteria investigations;Decision Support Systems (to appear).

  • Brans, J.P. and Ph. Vincke (1985). A preference ranking organisation method,Management Science, vol.31, 647–56.

    Google Scholar 

  • Edwards, W. and J.R. Newman (1982).Multiattribute Evaluation, Sage Publications, Beverly Hills.

    Google Scholar 

  • Mackie, P.J., A.D. May, A.D. Pearman and D. Simon (1988). A computer-aided priority assessment technique for local authority transport projects, pp. 161–9 in Highway Appraisal and Design, Proceedings of the PTRC Summer Annual Meeting Seminar E, PTRC, London.

  • Montero, J. and J. Tejada (1986). Fuzzy preferences in decision making, in B. Bouchon and R.R. Yager (eds.)Uncertainty in Knowledge-Based Systems, Springer Verlag, Berlin.

    Google Scholar 

  • Orlovsky, S.A. (1978). Decision-making with a fuzzy preference relation,Fuzzy sets and Systems, vol.1, 155–67.

    Article  Google Scholar 

  • Pearce, D.W. and C.A. Nash (1981).The Social Appraisal of Projects, MacMillan, Basingstoke.

    Google Scholar 

  • Pearman, A.D. (1989).Developing a Multicriteria Model for Use as a Highway Investment Priority Assessment Technique, Working Paper 289, Institute for Transport Studies, University of Leeds.

  • Pearman, A.D., P.J. Mackie, A.D. May and D. Simon (1989). The use of multicriteria techniques to rank highway investment proposals, 157–165 in A.G. Lockett and G. Islei (eds.)Improving Decision Making in Organizations, Springer-Verlag, Berlin.

    Google Scholar 

  • Pearman, A.D., J. Montero and J. Tejada (1991). Fuzzy multicriteria techniques: an application to transport planning, 510–9 in: B. Bouchon-Meunier, R.R. Yager and L.A. Zadeh (eds.),Uncertainty in Knowledge Bases, Springer-Verlag, Berlin.

    Google Scholar 

  • Perny, P. and B. Roy (1992). The use of fuzzy outranking relations in preference modelling,Fuzzy Sets and Systems, vol.49, 33–53.

    Article  Google Scholar 

  • Rios-Insua, D. and S. French (1989).A Framework for Sensitivity Analysis in Discrete Multi-Objective Decision-Making, School of Computer Studies, University of Leeds, Report 89.1.

  • Roy, B. (1977). Partial preference analysis and decision aid: the fuzzy outranking relation concept, 40–75 in D.E. Bell, R.L. Keeney and H. Raiffa (eds.)Conflicting Objectives in Decisions, Wiley, New York.

    Google Scholar 

  • Roy, B. (1978). ELECTRE III: un algorithme de classements fondé sur une représentation floue des préférences en présence de critères multiples,Cahiers du Centre d'Etudes de Recherche Opérationalle, vol.20, 3–24.

    Google Scholar 

  • Roy, B. and Ph. Vincke (1984). Relational systems of preference with one or more pseudo-criteria: some new concepts and results,Management Science, vol.30, 1323–35.

    Article  Google Scholar 

  • Siskos, J., J. Lochard and J. Lombard (1984). A multicriteria decision making methodology under fuzziness: application to the evaluation of radiological protection in nuclear power plants, 261–83 in H.J. Zimmermann, L.A. Zadeh and B.R. Gaines (eds.)Fuzzy Sets and Decision Analysis, North Holland, Amsterdam.

    Google Scholar 

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Authors and Affiliations

  1. Department of Statistics and OR, Faculty of Mathematics, Complutense University, 28040, Madrid, Spain

    J. Montero

  2. School of Business and Economic Studies, University of Leeds, LS2 9JT, Leeds, England

    A. D. Pearman

  3. Department of Statistics and OR, Faculty of Mathematics, Complutense University, 28040, Madrid, Spain

    J. Tejada

Authors
  1. J. Montero
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  2. A. D. Pearman
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  3. J. Tejada
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Montero, J., Pearman, A.D. & Tejada, J. Fuzzy multicriteria decision support for budget allocation in the transport sector. Top 3, 47–68 (1995). https://doi.org/10.1007/BF02574803

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  • DOI: https://doi.org/10.1007/BF02574803

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