Editing Computational intelligence (section)

=== Probabilistic methods ===
Being one of the main elements of fuzzy logic, probabilistic methods firstly introduced by [[Paul Erdős|Paul Erdos]] and [[Joel Spencer]] in 1974,<ref>{{Cite book |last1=Erdős |first1=Paul |title=Probabilistic methods in combinatorics |last2=Spencer |first2=Joel H. |date=1974 |publisher=Academic Press |isbn=978-0-12-240960-8 |series=Probability and mathematical statistics, 17 |location=New York}}</ref><ref>{{Cite book |last1=Siddique |first1=N. H. |title=Computational intelligence: synergies of fuzzy logic, neural networks, and evolutionary computing |last2=Adeli |first2=Hojjat |date=2013 |publisher=John Wiley & Sons Inc |isbn=978-1-118-53481-6 |location=Chichester, West Sussex, United Kingdom |pages=6–7 |chapter=Probabilistic Methods}}</ref> aim to evaluate the outcomes of a Computation Intelligent system, mostly defined by [[randomness]].<ref>{{Cite book|title = Computational Intelligence in Time Series Forecasting : Theory and Engineering Applications|last1 = Palit |first1 = Ajoy K. |last2=Popovic |first2=Dobrivoje |publisher = Springer Science & Business Media |year = 2006 |isbn = 9781846281846 |page = 4}}</ref> Therefore, probabilistic methods bring out the possible solutions to a problem, based on prior knowledge.