Development of Various Input Supporting AHP System and Its Application to Strategic Decision Making

The traditional AHP(Analytic Hierarchy Process) is to evaluate subjectively the alternatives in the view point of each of criteria and has been widely used at the fields of real world application. The AHP has some drawbacks that makes it difficult to keep the consistency of decision makers` input and take too long to get accurate results because of requiring lots of pairwise comparison between criteria and alternatives. This research is to propose and develop a Hybrid-AHP system for complementing the critical points of traditional AHP methodologies. This system gets the quantitative information as well as qualitative inputs as the comparative ones between criteria and alternatives. We use the input as various type of information such as quantitative values, 9-scale ratings, and fuzzy-based inputs. Finally, we applied the system to the case of choosing strategic industries. The case study have shown the use of various input methods saves processing time, and reduces the input burden of users.