Título:
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Decision making under uncertainty using a qualitative TOPSIS method for selecting sustainable energy alternatives
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Autor/a:
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Afsordegan, Arayeh; Sánchez Soler, Monica; Agell Jané, Núria; Zahedi, Siamak; Cremades Oliver, Lázaro Vicente
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Otros autores:
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Universitat Politècnica de Catalunya. Departament de Matemàtiques; Universitat Politècnica de Catalunya. Departament d'Enginyeria de Projectes i de la Construcció; Universitat Politècnica de Catalunya. GREC - Grup de Recerca en Enginyeria del Coneixement; Universitat Politècnica de Catalunya. GIIP - Grup de Recerca en Enginyeria de Projectes: Disseny, Sostenibilitat i Comunicació |
Abstract:
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The final publication is available at Springer via http://dx.doi.org/10.1007/s13762-016-0982-7 |
Abstract:
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Multi-criteria decision-making methods support decision makers in all stages of the decision-making process by providing useful data. However, criteria are
not always certain as uncertainty is a feature of the real world. MCDM methods under uncertainty and fuzzy systems are accepted as suitable techniques in conflicting problems that cannot be represented by numerical values, in particular in energy analysis and planning. In this paper, a modified TOPSIS method for multi-criteria group decision-making with qualitative linguistic labels is proposed. This method addresses uncertainty considering
different levels of precision. Each decision maker’s judgment on the performance of alternatives with respect to each criterion is expressed by qualitative linguistic labels. The new method takes into account linguistic data
provided by the decision makers without any previous aggregation. Decision maker judgments are incorporated into the proposed method to generate a complete ranking of alternatives. An application in energy planning is
presented as an illustrative case example in which energy policy alternatives are ranked. Seven energy alternatives under nine criteria were evaluated according to the opinion of three environmental and energy experts. The
weights of the criteria are determined by fuzzy AHP, and the alternatives are ranked using qualitative TOPSIS. The proposed approach is compared with a modified fuzzy TOPSIS method, showing the advantages of the proposed
approach when dealing with linguistic assessments to model uncertainty and imprecision. Although the new approach requires less cognitive effort to decision makers, it yields similar results. |
Abstract:
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Peer Reviewed |
Materia(s):
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-Àrees temàtiques de la UPC::Matemàtiques i estadística::Investigació operativa::Programació matemàtica -Àrees temàtiques de la UPC::Matemàtiques i estadística::Anàlisi numèrica::Modelització matemàtica -Artificial intelligence -Coding theory -Multi-criteria decision making -Linguistic labels -TOPSIS -Qualitative reasoning -Energy planning -Intel·ligència artificial -Codificació, Teoria de la -Classificació AMS::68 Computer science::68T Artificial intelligence -Classificació AMS::94 Information And Communication, Circuits::94D05 Fuzzy sets and logic |
Derechos:
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http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
Tipo de documento:
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Artículo - Versión presentada Artículo |
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