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Two-phase multi-expert knowledge approach by using fuzzy clustering and rule-based system for technology evaluation of unmanned aerial vehicles
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M. ÇOLAK Et Al. , "Two-phase multi-expert knowledge approach by using fuzzy clustering and rule-based system for technology evaluation of unmanned aerial vehicles," NEURAL COMPUTING & APPLICATIONS , vol.34, pp.5479-5495, 2022

ÇOLAK, M. Et Al. 2022. Two-phase multi-expert knowledge approach by using fuzzy clustering and rule-based system for technology evaluation of unmanned aerial vehicles. NEURAL COMPUTING & APPLICATIONS , vol.34 , 5479-5495.

ÇOLAK, M., KAYA, İ., KARAŞAN, A., & ERDOĞAN, M., (2022). Two-phase multi-expert knowledge approach by using fuzzy clustering and rule-based system for technology evaluation of unmanned aerial vehicles. NEURAL COMPUTING & APPLICATIONS , vol.34, 5479-5495.

ÇOLAK, MURAT Et Al. "Two-phase multi-expert knowledge approach by using fuzzy clustering and rule-based system for technology evaluation of unmanned aerial vehicles," NEURAL COMPUTING & APPLICATIONS , vol.34, 5479-5495, 2022

ÇOLAK, MURAT Et Al. "Two-phase multi-expert knowledge approach by using fuzzy clustering and rule-based system for technology evaluation of unmanned aerial vehicles." NEURAL COMPUTING & APPLICATIONS , vol.34, pp.5479-5495, 2022

ÇOLAK, M. Et Al. (2022) . "Two-phase multi-expert knowledge approach by using fuzzy clustering and rule-based system for technology evaluation of unmanned aerial vehicles." NEURAL COMPUTING & APPLICATIONS , vol.34, pp.5479-5495.

@article{article, author={MURAT ÇOLAK Et Al. }, title={Two-phase multi-expert knowledge approach by using fuzzy clustering and rule-based system for technology evaluation of unmanned aerial vehicles}, journal={NEURAL COMPUTING & APPLICATIONS}, year=2022, pages={5479-5495} }