Hierarchical Group Compromise Ranking Methodology Based on Euclidean–Hausdorff Distance Measure Under Uncertainty: An Application to Facility Location Selection Problem

Journal of Optimization in Industrial Engineering

مقاله 8، دوره 12، شماره 2، مهر 2019، صفحه 93-105   

نوع مقاله: Original Manuscript

شناسه دیجیتال (DOI): 10.22094/joie.2016.270

نویسندگان

Seyed Meysam Mousavi¹؛ Hossein Gitinavard²؛ Behnam Vahdani^{* 3}؛ Nazanin Foroozesh²

¹Department of Industrial Engineering, Faculty of Engineering, Shahed University, Tehran, Iran

²Department of Industrial Engineering and Management Systems, Amirkabir University of Technology, Tehran, Iran

³Department of Industrial Engineering, Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran

چکیده

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.

کلیدواژه‌ها

Compromise ranking؛ Group decision-making؛ Last aggregation؛ Euclidean–Hausdorff distance measure؛ Hesitant fuzzy sets؛ Facility location selection problem

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