Selection of Alternative under the Framework of Single-Valued Neutrosophic Sets
Author: M. Sarwar Sindhu
Publisher: Infinite Study
Published:
Total Pages: 17
ISBN-13:
DOWNLOAD EBOOK →The multiple criteria decision making (MCDM) problems indicate the alternatives which have more or less resemblance to each other. An important mathematical tool used by decision-makers (DMs) to quantify these resemblances is the similarity measure (SM). SM is a powerful tool that measures the resemblance more accurately. Mostly, fuzzy sets (FSs) and its extensions handle the vague and uncertain information by considering the membership, non-membership, and indeterminacy degrees whose sum always lies in the interval [0; 1]. However, single-valued neutrosophic sets (SVNSs) and interval-valued neutrosophic sets (IVNSs) have information whose sum is bounded in [0; 3]. In the present work, we extended the SM presented by William and Steel for SVNSs and IVNSs by using the concept of Euclidean distance.