Single-Valued Pentapartitioned Neutrosophic Dice Similarity Measure and Its Application in the Selection of Suitable Metal Oxide Nano-Additive for Biodiesel Blend on Environmental Aspect

Abstract

In this paper, an attempt has been made to introduce a new similarity measure namely single-valued pentapartitioned neutrosophic dice similarity measure (SVPNDSM) under the single-valued pentapartitioned neutrosophic set (SVPNS) environment, and to formulate several interesting results on SVPNDSM and SVPNWDSM. In this present work, the SVPNDSM under the SVPNS framework is combined with a multi-attribute decision making (MADM) strategy. This
proposed method is used to select suitable metal oxide nano-additive for biodiesel blends on the basis of environmental aspects. The effects of nano-additives on engine emissions have been reported here from six different literatures. The SVPNDSM applied under the SVPNS environment enables the selection of the best nano-additive among relevant literatures. Alternative L4 comes out as the best from the proposed method. The proposed MADM method is shown to be well suited to this problem after it has been compared with two existing methods.