University of Hormozgan International Journal of Industrial Engineering and Management Science 2409-1871 5 1 2018 06 01 Using Fuzzy Set Theory to Ranking Items Case Study: Bangladeshi Coals 58 64 82122 EN Muhammad Shamsuzzaman Department of Industrial Engineering and Management University of Sharjah Fikri Dweiri Department of Industrial Engineering and Management University of Sharjah A.M.M. Sharif Ullah Department of Mechanical Engineering Kitami Institute of Technology, Kitami, Hokkaido, Japan Journal Article 2019 01 24 <span>This study develops a computational framework for ranking Bangladeshi coals for industrial use based on fuzzy set<br /><span>theory. The ranking process considers coal quality parameters (known as selection or ranking criteria) such as<br /><span><em>sulphur content (ultimate analysis)</em><span>, <span><em>fixed carbon, volatile matter, moisture content, and ash content (proximate</em><br /><span><em>analysis) </em><span>and <span><em>calorific value</em><span>. The selection criteria are fuzzified according to expert’s opinion and the ranges<br /><span>prescribed in literature. Fuzzy sets are employed to recognize the importance of the selection criteria. Finally,<br /><span>Yager’s fuzzy multi-criteria decision-making approach with <span><em>min-max </em><span>aggregator is employed to get the best-ranked<br /><span>coal. Based on the proposed methodology, a software system is developed to facilitate the decision-making process.</span></span></span></span></span></span><br /><br class="Apple-interchange-newline" /></span></span></span></span></span></span></span></span> https://www.ijiems.com/article_82122_dad7e851012c3d9c094e3c0702b089d6.pdf