In the second phase of the research, they increased the number of input parameters to four by adding the duration parameter from of the animals' previous oestrus period to the present time.


They also
tried predicting oestrus again using the fuzzy logic method by increasing the number of rules
in the rule base from 00 to 00 and comparing the results. They found from the study that both
the 00-rule system and the 00-rule system performed equally well in detecting the oestrus of
the animals correctly. The 00-rule system, however, had more 'false positives' than the 00-
rule system. Using the fuzzy logic method, they found that the 00-rule system best detected
animals in the oestrus stage.

In the study's second phase, they increased the number of input parameters to four by adding the duration parameter from the animals' last oestrus period to the present time. They also tried to detect oestrus again using the fuzzy logic method by increasing the rules in the rule base from 00 to 00 and comparing the obtained results. As a result of the study, they found that the 00-rule system and the 00-rule system showed similar performance in accurately detecting the animals' oestrus. However, the 00-rule system had more 'false positives' than the 00-rule system. Using the fuzzy logic method, they concluded that the 00-rule system best-detected animals in the oestrus period.