A new grey decision model-based reference point method for decision makers and criteria weight, and final ranking

نویسندگان
Tavakkoli-Moghaddam, Reza ID 1
Jolai, Fariborz ID 2
Mousavi, Seyed Meysam ID 3
Dorfeshan, Yahya ID 4

1 School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran

2 School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran

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

4 School of Industrial Engineering College of Engineering, University of Tehran, Tehran, Iran

doi
چکیده

Multi-criteria decision-making (MCDM) challenges are expanding rapidly. Introducing a comprehensive decision model under uncertainty that considers the weight of criteria, the importance of experts, and the ranking of alternatives is essential for solving the MCDM problems. This paper aims to introduce a comprehensive decision model. For this purpose, a developed version of the grey relational analysis (GRA) method by using reference point approach is presented for ranking of alternatives. Moreover, an extension of the best-worst method (BWM), namely G-BWM, is applied for criteria weight determination. Furthermore, the multi-attributive border approximation area comparison (MABAC) method is enhanced by the average ideal concept to specify the weight of experts. The comprehensive model is enriched by employing grey numbers to cope with the uncertainty. To represent the usability of the proposed method, an illustrative example is solved. The outcomes illustrate the reliability of the comprehensive approach, and it can be applied to various MCDM problems.

کلیدواژه‌ها
Multi-Criteria Decision-Making, Grey Relational Analysis, reference point method, MABAC, best-worst method, experts’ weight