Selection of energy-efficient material: An entropy–TOPSIS approach

Abstract

Reduction of environmental effect from material uses is a big challenge on the view of material selection as per recent scientific reports. This paper aims to identify the major challenges of material selection for the future use and suggest an appropriate energy-efficient material based on the performance by the decision maker on the various issues. The proposed work presents a multi-criteria decision-making (MCDM) analysis—Technique for order of preference by similarity to ideal solution (TOPSIS) to find the appropriate selection and evaluate the best energy-efficient material on the basis of criteria. In this paper, different energy-efficient materials have been taken into consideration under multiple uncertainties. Firstly, materials are figure out acquiesce to one and the other approximate and perceptible precedent ensue from entropy analysis. Entropy is a convenient technique in critical administration and takes advantage of this crucial executive strategy for criteria weight to deal with material selection in environment-friendly way. Thereafter, the results are used as an input for TOPSIS to designate the array of materials. To our observation, this is the first analysis in the energy-efficient material selection which considers environmental threats. The effect of weighting factors has also been deliberated.