Abstract
In order to improve R & D project evaluation it is not sufficient merely
to develop better evaluation methods.It is also necessary to develop the
principles governing the use of the methods.R & D project evaluation should be
supported by an explicit evalu ation support system.In this study an applied
systems analytic framework, in which mathematical decision models are used for
modeling the evaluation process, was developed for the design of such a
system.The modeling is aimed at examining the process and choosing and
adjusting an appropriate evaluation method.A new decision model - the
approximate reasoning model was developed on the basis of the theory of fuzzy
decision making.The new model is in some respects more appropriate for the
modeling of evaluation processes than previous decision models.The approximate
reasoning model can also be used as an R & D project evaluation method.The
analysing framework and the approximate reasoning model were applied to the
evaluation of completed projects at the Technical Research Centre of Finland.
The evaluation processes of three laboratory directors were examined.The
approximate reasoning model turned out to represent adequately the ideal
evaluation processes of the laboratory directors.However, the basic problem of
the evaluation was not associ ated with the intuitive aggregation of the
multiple attributes but rather with the high interdependencies among the
attributes.Consequently, no major improvements could be attained by using any
method supporting the aggregation.It was therefore con cluded that the best
way to develop the evaluation would be an arrangement in which the laboratory
directors evaluate the projects together with the members of the steering
committees, who evaluate the projects differently.
Original language | English |
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Qualification | Doctor Degree |
Awarding Institution |
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Supervisors/Advisors |
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Place of Publication | Espoo |
Publisher | |
Print ISBNs | 951-38-2611-2 |
Publication status | Published - 1986 |
MoE publication type | G4 Doctoral dissertation (monograph) |
Keywords
- research projects
- evaluation
- fuzzy systems