TY - JOUR ID - 82122 TI - Using Fuzzy Set Theory to Ranking Items Case Study: Bangladeshi Coals JO - International Journal of Industrial Engineering and Management Science JA - IJIEMS LA - en SN - 2409-1871 AU - Shamsuzzaman, Muhammad AU - Dweiri, Fikri AU - Sharif Ullah, A.M.M. AD - Department of Industrial Engineering and Management University of Sharjah AD - Department of Mechanical Engineering Kitami Institute of Technology, Kitami, Hokkaido, Japan Y1 - 2018 PY - 2018 VL - 5 IS - 1 SP - 58 EP - 64 KW - Multi-Criteria Decision-Making KW - Fuzzy Sets KW - Coal quality KW - Bangladeshi coal DO - N2 - This study develops a computational framework for ranking Bangladeshi coals for industrial use based on fuzzy settheory. The ranking process considers coal quality parameters (known as selection or ranking criteria) such assulphur content (ultimate analysis), fixed carbon, volatile matter, moisture content, and ash content (proximateanalysis) and calorific value. The selection criteria are fuzzified according to expert’s opinion and the rangesprescribed in literature. Fuzzy sets are employed to recognize the importance of the selection criteria. Finally,Yager’s fuzzy multi-criteria decision-making approach with min-max aggregator is employed to get the best-rankedcoal. Based on the proposed methodology, a software system is developed to facilitate the decision-making process. UR - https://www.ijiems.com/article_82122.html L1 - https://www.ijiems.com/article_82122_8ad71289503b6bf7408241054ae77868.pdf ER -