ABSTRACT:
Interval numbers play a significant role in uncertain decision making process. However, interval numbers ranking have always been a challenging task in the field of decision making under uncertain conditions. Several solutions for the above problem are possible (i.e., the acceptability index, minimax regret approach, etc.), but theoretically there is no reason to be restricted to these approaches. Therefore, in this paper, we propose the distance to ideal interval numbers model to evaluates the non-negative interval numbers based on the distance between each interval number and the ideal interval numbers. So, interval numbers are ranked according to proximity to ideal interval numbers. Moreover, the comparative study of above approach with existing approach (particularly, the acceptability index) is also addressed. Results show the feasibility and effectiveness of each approach.