FUZZY IMPLEMENTATION ON MUSHROOM CULTIVATION BY NEUTROSOPHIC HESITANT MATRIX IN MULTI CRITERIA DECISION MAKING

Abstract

This article uses fuzzy logic with a neutrosophic hesitant fuzzy matrix to implement the cultivation of mushrooms. Various types of mushrooms, such as button mushrooms, oyster mushrooms, milky mushrooms, shiitake mushrooms, and others, are thought to originate from various nations. By using a similarity measure, the cultivation can be described in terms of a single valued neutrosophic hesitant fuzzy matrix with substrate getting ready, which includes sawdust, natural rice, coffee grounds, and paddy straw. This is especially apparent in situations where decision-making involves many criteria. We have also suggested a ranking-based approach for the establishment of a multi-valued neutrosophic hesitant fuzzy network. Additionally, a comparative analysis is conducted using our suggested approach with a multivalued neutrosophic matrix. We also provide an example to illustrate our suggested methodology.