TY - GEN
T1 - Fuzzy axiomatic design simulation for evaluating the conceptual aircraft designs
AU - Kandakoglu, Ahmet
AU - Kahraman, Cengiz
AU - Topcu, Y. Ilker
PY - 2012
Y1 - 2012
N2 - Selecting the best conceptual aircraft design is a crucial problem during an aircraft development process. To find out a solution for this complex problem, there is only few information available with uncertainty as obtaining more precise measurements and accurate preference information is difficult or sometimes impossible. Therefore, this study proposes a realistic simulation approach based on Fuzzy Axiomatic Design (FAD) method and a novel Random Weight Generation (RWG) algorithm to select an aircraft design that meets the requirements the most. This approach gives an opportunity to the decision-makers to evaluate alternative designs under multiple qualitative and quantitative criteria by considering the operational requirements. Finally, an empirical study is presented to illustrate the applicability of the proposed approach.
AB - Selecting the best conceptual aircraft design is a crucial problem during an aircraft development process. To find out a solution for this complex problem, there is only few information available with uncertainty as obtaining more precise measurements and accurate preference information is difficult or sometimes impossible. Therefore, this study proposes a realistic simulation approach based on Fuzzy Axiomatic Design (FAD) method and a novel Random Weight Generation (RWG) algorithm to select an aircraft design that meets the requirements the most. This approach gives an opportunity to the decision-makers to evaluate alternative designs under multiple qualitative and quantitative criteria by considering the operational requirements. Finally, an empirical study is presented to illustrate the applicability of the proposed approach.
UR - https://www.scopus.com/pages/publications/84892635633
U2 - 10.1142/9789814417747_0041
DO - 10.1142/9789814417747_0041
M3 - Conference contribution
AN - SCOPUS:84892635633
SN - 9789814417730
T3 - World Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf.
SP - 249
EP - 254
BT - World Scientific Proc. Series on Computer Engineering and Information Science 7; Uncertainty Modeling in Knowledge Engineering and Decision Making - Proceedings of the 10th International FLINS Conf.
PB - World Scientific Publishing Co. Pte Ltd
T2 - 10th International Fuzzy Logic and Intelligent Technologies inNuclear Science Conference, FLINS 2012
Y2 - 26 August 2012 through 29 August 2012
ER -