Shipping technology selection for dynamic capability based on improved Gaussian fuzzy AHP model

The purpose of this paper is to develop an improved version of the conventional fuzzy analytic hierarchy process (FAHP) methods, and investigate the shipping technology management problem for dynamic capability. There exist many FAHP applications in the recent literature, but most of these use triangular or trapezoidal fuzzy numbers rather than Gaussian fuzzy numbers and lack of consistency for the decision matrices. The proposed model, improved Gaussian FAHP (here after IG-FAHP) executes Gaussian fuzzy numbers to eliminate the case of zero weights. IG-FAHP also uses a standard consistency control mechanism for the whole model and enables direct numerical inputs. Finally, expert consistency prioritization is conducted for expertise differences instead of assuming experts identical or assigning some predefined weights. The research outcomes stemming from the IG-FAHP are that it produces more accurate and realistic results than the conventional FAHP methods, and the empirical study of shipping technology selection proves the applicability of the proposed method. It is found that energy efficient technologies are significant for long term corporate success.