A comparative study of heterogeneous decision analysis approaches applied to sustainable energy evaluation

International Journal of Uncertainty, Fuzziness and Knowldege-Based Systems

Volumn 20, Issue SUPPL. 1, 2012, Pages 159-174

  Espinilla, MacArena ^a   Palomares, Iván ^a   MartÍnez, Luis ^a   Ruan, Da ^b  

^a UNIVERSITY OF JAÉN   (Spain)

^b BELGIAN NUCLEAR RESEARCH CENTRE   (Belgium)

Author keywords

Computing with words; Decision analysis; Evaluation of sustainable energy policies; Heterogeneous information

Indexed keywords

DECISION MAKING; ENERGY POLICY; UNCERTAINTY ANALYSIS;

ANALYSIS APPROACH; COMPARATIVES STUDIES; COMPUTING WITH WORDS; DIFFERENT DOMAINS; ENERGY EVALUATION; EVALUATION OF SUSTAINABLE ENERGY POLICIES; HETEROGENEOUS INFORMATION; POLICY SUPPORT; SUSTAINABLE ENERGY; UNCERTAINTY;

ENERGY CONSERVATION;

EID: 84863769731     PISSN: 02184885     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0218488512400120     Document Type: Conference Paper

References (37)

1. F. Abulfotuh, Energy efficiency and renewable technologies: The way to sustainable energy future, Desalination 209(1-3) (2007) 275-282.
2. S. Aydin, C. Kahraman, and I. Kaya, A new fuzzy multicriteria decision making approach: An application for european quality award assessment, Knowledge-Based Systems, article in press, doi=10.1016/j.knosys.2011.08.022.
3. S. Bilgen, S. Kele, A. Kaygusuz, A. Sari, and K. Kaygusuz, Global warming and renewable energy sources for sustainable development: A case study in Turkey, Renewable and Sustainable Energy Reviews 12(2) (2008) 372-396.
4. C. C. Chen, An analytical framework for energy policy evaluation, Renewable Energy 36 (2011) 2694-2702.
5. C. T. Chen, Applying linguistic decision-making method to deal with service quality evaluation problems, int. J. Uncertainty, Fuzziness and Knowlege-Based Systems 9 (Suppl.) (2001) 103-114.
6. R. T. Clemen, Making Hard Decisions. An Introduction to Decision Analysis (Duxbury Press, 1995).
7. R. de Andres, M. Espinilla and L. Martínez, An extended hierarchical linguistic model for managing integral evaluation, int. J. Computational Intelligence Systems 3(4) (2010) 486-500.
8. D. Dubois and H. Prade, Fuzzy Sets and Systems-Theory and Applications (Academic Press, New York, 1980).
9. M. Espinilla, J. Liu and L. Martínez, An extended hierarchical linguistic model for decision-making problems, Computational Intelligence 27(3) (2011) 489-512.
10. M. Espinilla, D. Ruan, J. Liu and L. Martínez, A heterogeneous evaluation model for assessing sustainable energy: A belgian case study, in 2010 IEEE Int. Conf. on Fuzzy Systems (FUZZ), Barcelona, 2010, pp. 227-234.
11. M. S. García-Cascales and M. T. Lamata, On rank reversal and TOPSIS method, Mathematical and Computer Modelling, article in press, doi=10.1016/ j.mcm.2012.12.0022.
12. S. Gramajo and L. Martínez, A linguistic decision support model for QoS priorities in networking, Knowledge-Based Systems, article in press, doi=10.1016/ j.knosys.2011.08.016.
13. F. Herrera and L. Martínez, A 2-tuple fuzzy linguistic representation model for computing with words, IEEE Trans. Fuzzy Systems 8(6) (2000) 746-752.
14. F. Herrera and L. Martínez, The 2-tuple linguistic computational model. Advantages of its linguistic description, accuracy and consistency, int. J. Uncertainty, Fuzziness and Knowledge-Based Systems 9 (Suppl.) (2001) 33-49.
15. F. Herrera, L. Martínez, and P.J. Sánchez, Managing non-homogeneous information in group decision making, European Journal of Operational Research 166(1) (2005) 115-132.
16. N. K. Janjua and F. K. Hussain, Web@idss-argumentation-enabled web-based idss for reasoning over incomplete and conflicting information,Knowledge-Based Systems, article in press, doi=10.1016/j.knosys.2011.09.009.
17. K. Kaygusuz, Environmental impacts of energy utilisation and renewable energypolicies in Turkey, Energy Policy 30(8) (2002) 689-698.
18. D. F. Li, A fuzzy closeness approach to fuzzy multi-attribute decision making, Fuzzy Optimization and Decision Making 6(3) (2007) 237-254.
19. D. F. Li, Z. G. Huang and G. H. Chen, A systematic approach to heterogeneous multiattribute group decision making, Computers & Industrial Engineering 59(4) (2010) 561-572.
20. E. Loken, Use of multicriteria decision analysis methods for energy planning problems, Renewable and Sustainable Energy Reviews 11(7) (2007) 1584-1595.
21. J. Lu, J. Ma, G. Zhang, Y. Zhu, X. Zeng and L. Koehl, Theme-based comprehensive evaluation in new product development using fuzzy hierarchical criteria group decision-making method, IEEE Trans. Industrial Electronics 58(6) (2011) 2236-2246.
22. J. Lu, Y. Zhu, X. Zeng, L. Koehl, J. Ma and G. Zhang, A linguistic multi-criteria group decision support system for fabric hand evaluation, Fuzzy Optimization and Decision Making 8 (2009) 395-413.
23. A. Marcomini, G. W. Suter and A. Critto, Decision Support Systems for Risk Based Management of Contaminated Sites (Springer Verlag, New York, 2009).
24. L. Martínez, Sensory evaluation based on linguistic decision analysis, int. J. Approximate Reasoning 44(2) (2007) 148-164.
25. L. Martínez, M. Espinilla, J. Liu, L. G. Perez and P. J. Sánchez, An evaluation model with unbalanced linguistic information applied to olive oil sensory evaluation, Journal of Multiple-Valued Logic and Soft Computing 15(2-3) (2009) 229-251.
26. L. Martínez, J. Liu, D. Ruan and J. B. Yang, Dealing with heterogeneous information in engineering evaluation processes, information Sciences 177 (2007) 1533-1542.
27. L. Martínez, J. Liu, J. B. Yang, and F. Herrera, A multi-granular hierarchical linguistic model for design evaluation based on safety and cost analysis, int. J. Intelligent Systems 20 (2005) 1161-1194.
28. L. Martínez, J. Liu and J. B. Yang, A fuzzy model for design evaluation based on multiple criteria analysis in engineering systems, int. J. Uncertainty, Fuzziness and Knowlege-Based Systems 14(3) (2006) 317-336.
29. L. Martínez, D. Ruan and F. Herrera, Computing with words in decision support systems: An overview on models and applications, int. J. Computational Intelligence Systems 3(4) (2010) 382-395.
30. D. Ruan, J. Lu, E. Laes, G. Zhang, J. Ma, and G. Meskens, Multi-criteria group decision support with linguistic variables in long-term scenarios for belgian energy policy, J. Universal Computer Science 16(1) (2010) 103-120.
31. Y. C. Shen, G. T. R. Lin, K. P. Li and B. J. C. Yuan, An assessment of exploiting renewable energy sources with concerns of policy and technology, Energy Policy 38(8) (2010) 4604-4616.
32. J. J. Wang, Y. Y. Jing, C. F. Zhang and J. H. Zhao, Review on multi-criteria decision analysis aid in sustainable energy decision-making, Renewable and Sustainable Energy Reviews 13(9) (2009) 2263-2278.
33. I. Yúksel, Global warming and renewable energy sources for sustainable development in Turkey, Renewable Energy 33 (2008) 802-812.
34. I. Yúksel and K. Kaygusuz, Renewable energy sources for clean and sustainable energy policies in Turkey, Renewable and Sustainable Energy Reviews 15 (2011) 4132-4144.
35. L. A. Zadeh, The concept of a linguistic variable and its applications to approximate reasoning, information Sciences, Part I, II, III, 8, 8, 9:199-249, 301-357, 43-80, 1975.
36. G. Zhang and J. Lu, An integrated group decision-making method dealing with fuzzy preferences for alternatives and individual judgments for selection criteria, Group Decision and Negotiation 12(6) (2003) 501-515.
37. T. Zhang, G. Zhang, J. Ma, and J. Lu, Power distribution system planning evaluation by a fuzzy multi-criteria group decision support system, int. J. Computational Intelligence Systems 3(4) (2010) 474-485.