Mathematics and Computer Science, Volume 1

11A Novel Score Function-Based EDAS Method for the Selection of a Vacant Post of a Company with q-Rung Orthopair Fuzzy Data

Utpal Mandal* and Mijanur Rahaman Seikh^†

Department of Mathematics, Kazi Nazrul University, Asansol, India

Abstract

In this chapter, we introduce an improved score function in the q-rung orthopair fuzzy (q-ROF) environment. Then, we establish several suitable properties of our introduced score function. Next, we compare our introduced score function with some existing score functions under the q-ROF environment, by considering a few numerical examples. The comparison result shows that the introduced score function outperforms the existing ones. Then, we utilize our introduced score function to develop a q-ROF evaluation based on the distance from the average solution (EDAS) method for solving the multiattribute decision-making problem. Further, we present a numerical problem of selection for the vacant post of a company to verify the validity and effectiveness of our proposed model. Finally, we elaborate on the superiority of our proposed model by comparing it with several existing methods.

Keywords: q-rung orthopair fuzzy sets, score function, EDAS method, MADM

11.1 Introduction

Multiattribute decision making (MADM) is the procedure of identifying the best choice from several given alternative choices based on multiple criteria. The purpose of MADM is to facilitate decision makers to deal with such types of problems. This problem does not have a unique ...