By Maria Nowakowska (auth.), B. van Rootselaar, H. Koppelaar (eds.)
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The systems approach, New York, 1968. 9. Churchman, C. , The past's future: estimating trends by system theory, pp. 434-443 in: Trends in general systems theory (Klir, G. ), New York, 1972. 10. Colby, K. M. , Artificial paranoia, Elmsford, N. , 1975. 11. Gagn~, R. , Psychological principles in system development, New York, 1963. 12. , Approaches to family therapy, pp. ), New York, 1971. 13. , The end of ideology in behavior modification, American Psychologist, (1972), 913-920. 35 14. Siegler, M.
KICKERT SUMMARY A new kind of simulation model is introduced, namely a linguistic model. This linguistic modelling approach is based on the theory of fuzzy sets. Besides the general rationale and description of the approach, a factual linguistic model of Mulder's theory of power is presented. This linguistic model is compared to a similar but numerical simulation model of Mulder's power theory. 1. INTRODUCTION This paper deals with a relatively new kind of modelling, namely linguistic modelling.
Young or (not very young and not very old), ... I. As in the case of numerical values, the set of possible or admissible values has thus been defined in a structural way and not by Simple enumeration. On the other hand we want to define the meaning, the semantics, of the linguistic values of the term-set. That is where fuzzy set theory enters the scene, for each linguistic value is defined as a fuzzy set. -----f-----+--+--+---Base varia ble 20 25 30 35 40 45 50 55 Figure 3. An example of a linguistic variable 60 65 [24J vague concept, for example, the fuzzy set 'young' might be defined as I-Lyoung (20) '" 1.