@revista_internacional{812, keywords = {Renewable energy sources, Multi-criteria decision-making, Gaussian interval type-2 fuzzy sets, prospect theory}, author = {Shi-Fan He and Ying-Ming Wang and Luis Martínez}, title = {Gaussian IT2FSs-based prospect theory method with application to the evaluation of renewable energy sources}, abstract = {Finding the optimal renewable energy source (RES) is extremely important in order to achieve sustainable development. However, there still are three critical issues that have not been satisfactorily addressed. First, the criteria used to evaluate RESs have not been well organized. Second, uncertainty related to the different meanings of linguistic terms is not taken into account in RES evaluation. Third, the bounded rationality of decision makers is largely ignored in the state of the art of RES evaluation. To overcome the above problems and provide a more systematic and clearer framework for evaluating RESs, this paper introduces different innovations in relation to the following: (1) Construct a new index system based on a comprehensive review of the following four aspects: economy, environment, society and technology. (2) Employ Gaussian IT2FSs to model linguistic terms and define a new entropy model to calculate the criteria weights with Gaussian IT2FSs information. (3) Propose a new distance model to measure the distance between Gaussian IT2FSs, which can simultaneously avoid information loss and improve computational efficiency. (4) Introduce a comprehensive method combining Gaussian IT2FSs and prospect theory to describe the bounded rationality of decision makers. The proposed method is demonstrated by an illustrative case of RES evaluation in Anhui, China, and its feasibility together with a parameter analysis and discussion are conducted to show the influence of parameters on the results and the advantages of the proposed method.}, year = {2022}, journal = {Computers & Industrial Engineering}, volume = {169}, pages = {108266}, issn = {0360-8352}, url = {https://www.sciencedirect.com/science/article/pii/S0360835222003333}, doi = {https://doi.org/10.1016/j.cie.2022.108266}, }