@article{(Open Science Index):https://publications.waset.org/pdf/10013604,
	  title     = {Modeling Uncertainty in Multiple Criteria Decision Making Using the Technique for Order Preference by Similarity to Ideal Solution for the Selection of Stealth Combat Aircraft},
	  author    = {C. Ardil},
	  country	= {},
	  institution	= {},
	  abstract     = {Uncertainty set theory is a generalization of fuzzy set theory and intuitionistic fuzzy set theory. It serves as an effective tool for dealing with inconsistent, imprecise, and vague information. The technique for order preference by similarity to ideal solution (TOPSIS) method is a multiple-attribute method used to identify solutions from a finite set of alternatives. It simultaneously minimizes the distance from an ideal point and maximizes the distance from a nadir point. In this paper, an extension of the TOPSIS method for multiple attribute group decision-making (MAGDM) based on uncertainty sets is presented. In uncertainty decision analysis, decision-makers express information about attribute values and weights using uncertainty numbers to select the best stealth combat aircraft.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {18},
	  number    = {4},
	  year      = {2024},
	  pages     = {188 - 198},
	  ee        = {https://publications.waset.org/pdf/10013604},
	  url   	= {https://publications.waset.org/vol/208},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 208, 2024},
	}