@article{(Open Science Index):https://publications.waset.org/pdf/10012749,
	  title     = {Fighter Aircraft Selection Using Fuzzy Preference Optimization Programming (POP)},
	  author    = {C. Ardil},
	  country	= {},
	  institution	= {},
	  abstract     = {The Turkish Air Force needs to acquire a sixth- generation fighter aircraft in order to maintain its air superiority and dominance against its rivals under the risks posed by global geopolitical opportunities and threats. Accordingly, five evaluation criteria were determined to evaluate the sixth-generation fighter aircraft alternatives and to select the best one. Systematically, a new fuzzy preference optimization programming (POP) method is proposed to select the best sixth generation fighter aircraft in an uncertain environment. The POP technique considers both quantitative and qualitative evaluation criteria. To demonstrate the applicability and effectiveness of the proposed approach, it is applied to a multiple criteria decision-making problem to evaluate and select sixth-generation fighter aircraft. The results of the fuzzy POP method are compared with the results of the fuzzy TOPSIS approach to validate it. According to the comparative analysis, fuzzy POP and fuzzy TOPSIS methods get the same results. This demonstrates the applicability of the fuzzy POP technique to address the sixth-generation fighter selection problem.},
	    journal   = {International Journal of Aerospace and Mechanical Engineering},
	  volume    = {16},
	  number    = {10},
	  year      = {2022},
	  pages     = {274 - 285},
	  ee        = {https://publications.waset.org/pdf/10012749},
	  url   	= {https://publications.waset.org/vol/190},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 190, 2022},
	}