Hierarchical Group Compromise Ranking Methodology Based on Euclidean–Hausdorff Distance Measure Under Uncertainty: An Application to Facility Location Selection Problem
محورهای موضوعی : StrategySeyed Meysam Mousavi 1 , Hossein Gitinavard 2 , Behnam Vahdani 3 , Nazanin Foroozesh 4
1 - Department of Industrial Engineering, Faculty of Engineering, Shahed University, Tehran, Iran
2 - Department of Industrial Engineering and Management Systems, Amirkabir University of Technology, Tehran, Iran
3 - Department of Industrial Engineering, Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran
4 - Department of Industrial Engineering and Management Systems, Amirkabir University of Technology, Tehran, Iran
کلید واژه: Compromise ranking, Last aggregation, Hesitant fuzzy sets, Facility location selection problem, Group decision-making, Euclidean&ndash, Hausdorff distance measure,
چکیده مقاله :
Proposing a hierarchical group compromise method can be regarded as a one of major multi-attributes decision-making tool that can be introduced to rank the possible alternatives among conflict criteria. Decision makers’ (DMs’) judgments are considered as imprecise or fuzzy in complex and hesitant situations. In the group decision making, an aggregation of DMs’ judgments and fuzzy group compromise ranking is more capable and powerful than the classical compromise ranking. This research extends a new hierarchical group compromise ranking methodology under a hesitant fuzzy (HF)environment to handle uncertainty, in which for the margin of error, the DMs could assign the opinions in several membership degrees for an element. The hesitant fuzzy set (HFS)is taken into account for the process of the proposed hierarchical group compromise ranking methodology, namely HFHG-CR, and for avoiding the data loss, the DMs’ opinions with risk preferences are considered for each step separately. Also, the Euclidean–Hausdorff distance measure is utilized in a new proposed index for calculating the average group score, worst group score and compromise measure regarding each DM. A new ranking index is presented for final compromise solution for the evaluation. Proposed HFHG-CR methodology is applied to a practical example for a facility location selection problem, i.e. cross-dock location problem, to show the validation and application.
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