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JCR 2016
جستجوی مقالات
جمعه 1 اسفند 1404
Journal of Industrial and Systems Engineering
، جلد ۱۴، شماره ۲، صفحات ۲۸۴-۲۹۷
عنوان فارسی
چکیده فارسی مقاله
کلیدواژههای فارسی مقاله
عنوان انگلیسی
A new grey decision model-based reference point method for decision makers and criteria weight, and final ranking
چکیده انگلیسی مقاله
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.
کلیدواژههای انگلیسی مقاله
Multi-Criteria Decision-Making,Grey Relational Analysis,reference point method,MABAC,best-worst method,experts’ weight
نویسندگان مقاله
Yahya Dorfeshan |
School of Industrial Engineering College of Engineering, University of Tehran, Tehran, Iran
Reza Tavakkoli-Moghaddam |
School of Industrial Engineering College of Engineering, University of Tehran, Tehran, Iran
Fariborz Jolai |
School of Industrial Engineering College of Engineering, University of Tehran, Tehran, Iran
Seyed Meysam Mousavi |
Department of Industrial Engineering, Faculty of Engineering, Shahed University, Tehran, Iran
نشانی اینترنتی
https://www.jise.ir/article_150199_333eb41ef416d058831d98151fba815b.pdf
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