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

Abstract

<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>