Schweizer-Sklar power aggregation operators based on complexsingle-valued neutrosophic information using SMART and their application in green supply chain management

Abstract

A complex single-valued neutrosophic (CSVN) set is a very useful tool to handle the uncertainty,
 inconsistency, and ambiguity of knowledge in a periodic framework. The Schweizer-Sklar (SS) t-norm (TN) and
 t-conorm (TCN) enhance the flexibility of a procedure for aggregation depending on its parameters, whereas
 the power aggregation(PA) operator prevents insufficient impact of excessively high or low arguments on the
 results. Based on the idea of Schweizer-Sklar power aggregation operators, this paper aims to propose a number
 of aggregation operators such as complex single-valued neutrosophic Schweizer-Sklar power weighted averag
ing (CSVNSSPWA), complex single-valued neutrosophic Schweizer-Sklar power ordered weighted averaging
 (CSVNSSPOWA). Weights determination to solve green supply chain management problems in the single val
ued neutrosophic context is accomplished through the Simple Multi-Attribute Rating Technique (SMART).
 Furthermore, an example is given to show the uniqueness of the proposed operator and the difference between
 the proposed work and previous research.