Criteria are one of the main components of decision problems. Understanding the decision maker's preferences, priorities or approach in the context of the criteria is extremely important for the solution of the decision problem. In...
moreCriteria are one of the main components of decision problems. Understanding the decision maker's preferences, priorities or approach in the context of the criteria is extremely important for the solution of the decision problem. In general, most of the techniques to be used in the solution of decision problems require that the criteria have a cardinal data structure to apply trade-offs between criteria. On the other hand, a great number of the criteria have a qualitative data structure in real-life decision problems. Also, even if some criteria have a cardinal data structure, the very different units of measurement in these negatively affect the solution of the problem compared to other criteria. In this context, it may be necessary to scale the criteria to solve the decision problem with MCDM techniques. In this study, Interval and Iterative Preference- Priority Scale, which aims to scale effectively with the operation steps it contains, was proposed. In the Interval and Iterative Preference-Priority Scale, zero is the veto value, and ten indicates the definite preference, while five is the medium value. Besides, the Interval and Iterative Preference-Priority Scale can also be used to weight criteria.
