EVALUATION OF GREEN ENERGY SOURCES: AN EXTENDED FUZZY-TODIM APPROACH BASED ON SCHWEIZER-SKLAR AND POWER AVERAGING OPERATORS

To address the problem of green energy source selection, this paper proposes a novel decision-making framework using fuzzy-TOmada de Decisao Interativa Multicriterio (TODIM) method in an interval-valued intuitionistic environment. The proposed framework integrates the prospect theory approach with Schweizer-Sklar and power averaging operators to evaluate the green energy sources including solid waste, solar, tidal, carbon capture storage, hydrogen, marine, hydel, biogas, wind, concentrating solar, geothermal and biomass under the influence of nine conflicting criteria such as annual generation, capacity factor, mitigation potential, useful life, installation period, energy requirement, CO2 emission, generating cost and operations and maintenance cost. The vagueness associated with the evaluations as well as biased evaluations is taken care of by Schweizer-Sklar and power averaging operators while TODIM method provides due consideration to the psychological behavior of the decision maker. Solar photovoltaic emerges as the best energy source. Sensitivity analysis has also been performed to assess the robustness of the proposed decision-making framework.