Using Fuzzy Set Theory to Ranking Items Case Study: Bangladeshi Coals

Document Type : Original Article


1 Department of Industrial Engineering and Management University of Sharjah

2 Department of Mechanical Engineering Kitami Institute of Technology, Kitami, Hokkaido, Japan


This study develops a computational framework for ranking Bangladeshi coals for industrial use based on fuzzy set
theory. The ranking process considers coal quality parameters (known as selection or ranking criteria) such as
sulphur content (ultimate analysis), fixed carbon, volatile matter, moisture content, and ash content (proximate
analysis) and calorific value. The selection criteria are fuzzified according to expert’s opinion and the ranges
prescribed 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-ranked
coal. Based on the proposed methodology, a software system is developed to facilitate the decision-making process.