A framework for evaluating sustainable renewable energy sources under uncertain conditions: A case study

Abstract

The need for energy sources in India has increased abnormally in recent years due to industrial and societal growth. To meet this demand, it was a necessary choice of renewable energy sources (RESs) as a solution to lack of nonrenewable energy sources. Due to the multiplicity of involved factors, selecting the most appropriate RESs is a multiattribute decision making (MADM) problem. There is a large number of work associated with the development of MADM techniques, especially under ambiguous and uncertain conditions. However, the effective embedding of uncertainty and ambiguity and in decision-making remains a difficult challenge, and thus this study introduces a new framework for solving the problem of selecting the most suitable RESs which is based on the neutrosophic set and TODIM (an acronym in Portuguese of interactive and multicriteria decision-making) method. It also reduces human intervention by being systematically applied. First, it transforms the linguistic terms presented into neutrosophic values and implements systematic techniques to compute missing values in the decision

Solid Waste Landfill Site Assessment Framework Based on Single-Valued Neutrosophic Hybrid Aggregation and Multi-Criteria Analysis

“…To address the problem of end-of-life electronics recycling partner selection in an SVN environment, Rani and Mishra [26] created a novel similarity measure and introduced it into the combined compromise solution (COCOSO) to jointly identify the best partner. To assist India in selecting the finest renewable energy sources, Azzam et al [27] presented a new decision evaluation framework based on SVN information, and the study showed that the most suitable was wind energy. Rani et al [28] integrated SVN CRITIC and MULTIMOOR for food waste treatment technology selection.…”