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Probability of selection and survival for the next generation for every string is based on cost evaluation and ranking. Using fuzzy reasoning with GA, every computational element (pipe) is assigned a fuzzy cost evaluation (Vamvakeridou, 2001; Vamvakeridou, 2002), which can be modified accordingly, using the fuzzy linguistic tag of replacement desirability, previously computed for each pipe, according to conditions. Therefore, the main scope of this paper, which is extracting information from malfunction data using fuzzy inference rules, aims not at prediction but at evaluation of each solution occurring during optimization by GA, using fuzzy reasoning.
The average size of time series was 43 years both for time series of maximum discharges as well as for time series of depth of runoff. The greatest size of long term time series is 89 years took place for the Prut River – site Chernovtzy, also its watershed area a little bit more than areas of other basins (A ϭ 6890 km2). The size of next the longest time series is 60 years for the Tismenitza River – site Drogobich (A ϭ 250 km2). The smallest period of observations in 12 and 16 years take place for the time series: the Malyi Siret River – site Verkhnie Petrovtsi (A ϭ 488 km2) and the Rika River – site Nizhniy Bistriy (A ϭ 787 km2).
Trends in Cold Climate Characteristics in Urban drainage in specific climates. Cold climate. UNESCO, pp. 171–199. Recommendations on restoration of river runoff time series and their parameters for long-term period. 1979. Leningrad, Gidrometeoizdat. V. G. 1991. Using of data of short-term hydrological surveys in river runoff computations. Meteoroly and Hydrology (in Russian), No. 12, pp. 84–91. Sachs, L. 1972. Statistische auswertungsmethoden. Springer-Verlag, Berlin, Heidelberg, New York. J. 1987.