On solving the Best-Worst Method in multi-criteria decision-making
نویسندگان
چکیده
منابع مشابه
Prioritization of Purchasing Criteria by Linear Best-Worst Multi-Criteria Decision-Making Method for Optimal Provision of Medical Supplies
Introduction: One of the main challenges of the health system is improving the quality of healthcare services by adjusting the costs. The right choice of tools will bring economic savings besides excellent service quality. Since medical supplies are among the fundamental and costly elements in providing services, the expertise of purchasing has become an important and complex issue. This study ...
متن کاملPrioritization of Purchasing Criteria by Linear Best-Worst Multi-Criteria Decision-Making Method for Optimal Provision of Medical Supplies
Introduction: One of the main challenges of the health system is improving the quality of healthcare services by adjusting the costs. The right choice of tools will bring economic savings besides excellent service quality. Since medical supplies are among the fundamental and costly elements in providing services, the expertise of purchasing has become an important and complex issue. This study ...
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This study was conducted to identify suitable sites for planting Avicennia marina in Soltani Khore of the urban coast of Bushehr. The most effective criteria for Avicennia marina planting include land characteristics (i.e. land use, slope, elevation, soil electrical conductivity, soil texture, and soil type), seawater (i.e. tidal range, wave, acidity, electrical conductivity, and salinity), and...
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As the name implies, Multi Criteria Decision Making Methods (MCDMs) is a decision making tool that capable the selection of the most preferred choice in a context where several criteria apply simultaneously. Primary purpose of this study is to examine the status of Multi Criteria Decision Making Methods (MCDMs) in forest management. The study also aims to evaluate the strengths and weaknesses ...
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ژورنال
عنوان ژورنال: IFAC-PapersOnLine
سال: 2018
ISSN: 2405-8963
DOI: 10.1016/j.ifacol.2018.08.218