Abstract
Exploitation of new and innovative energy alternatives is a key means toward a sustainable energy system. This paper proposes a novel model for linguistic energy planning with an application to public transportation. In particular, a probability based approach is firstly introduced to perform group aggregation based on a random interpretation of an evaluation-team’s judgments. Secondly, a weighted approach is proposed to perform multi-criteria aggregation based on the concept of stochastic dominance degree, which results with a matrix of overall stochastic dominance degrees of different alternatives. Thirdly, a choice function based on the idea of the PROMETHEE-II method is developed to rank and select the best/desired alternative(s), which can divide the alternatives into two classes: positive (acceptable) and negative (unacceptable) ones. Our model is used to re-evaluate the technological development of public transportation with 12 alternative fuel modes.
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References
Bordogna, G., Fedrizzi, M., Passi, G.: A linguistic modeling of consensus in group decision making based on OWA operator. IEEE Trans. Syst. Man Cybern. Part A Syst. Hum. 27(1), 126–132 (1997)
Cavallaro, F.: Fuzzy TOPSIS approach for assessing thermal-energy storage in concentrated solar power (CSP) systems. Appl. Energy 87(2), 496–503 (2010)
Chang, P.L., Hsu, C.W., Lin, C.Y.: Assessment of hydrogen fuel cell applications using fuzzy multiple-criteria decision making method. Appl. Energy 100, 93–99 (2012)
Cruz, J.M.: A sustainable policy making-energy system for Colombia. Interim Report IR-04-009, International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria (2004)
Haralambopoulos, D.A., Polatidis, H.: Renewable energy projects: structuring a multi-criteria group decision-making framework. Renew. Energy 28(6), 961–973 (2003)
Hiremath, R.B., Shikha, S., Ravindranath, N.H.: Decentralized energy planning; modeling and application-a review. Renew. Sustain. Energy Rev. 11(5), 729–752 (2007)
Hwang, C.L., Yoon, K.: Multiple Attribute Decision Making: Methods and Applications. Springer, New York (1981)
Kaya, T., Kahraman, C.: Multicriteria renewable energy planning using an integrated fuzzy VIKOR & AHP methodology: the case of Istanbul. Energy 35(6), 2517–2527 (2010)
McNicol, B.D., Rand, D., Williams, K.R.: Fuel cells for road transportation purposeyes or no? J. Power Sources 100(1), 47–59 (2001)
Morita, K.: Automotive power source in 21st century. JSAE Rev. 24(1), 3–7 (2003)
Onar, S.C., Oztaysi, B., Otay, I., Kahraman, C.: Multi-expert wind energy technology selection using interval-valued intuitionistic fuzzy sets. Energy 90(1), 274–285 (2015)
Saaty, T.L.: Axiomatic foundation of the analytic hierarchy process. Manage. Sci. 32(7), 841–855 (1986)
Siskos, J., Hubert, P.: Multi-criteria analysis of the impacts of energy alternatives: a survey and a new comparative approach. Euro. J. Oper. Res. 13(3), 278–299 (1983)
Taylor, R.: Strategic energy planning, project developmentand the importance of champions. Technical report, National Renewable Energy Laboratory of the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy (2009)
Torrini, F.C., Souza, R.C., Oliveira, F.L.C., Pessanha, J.F.M.: Long term electricity consumption forecast in Brazil: a fuzzy logic approach. Soc. Econ. Plan. Sci. 54, 18–27 (2016)
Tzeng, G.H., Lin, C.W., Opricovic, S.: Multi-criteria analysis of alternative-fuel buses for public transportation. Energy Policy 33, 1373–1383 (2005)
Vahdani, B., Zandieh, M., Tavakkoli-Moghaddam, R.: Two novel FMCDM methods for alternative-fuel buses selection. Appl. Math. Model. 35(3), 1396–1412 (2011)
Xu, Y., Da, Q., Liu, L.: Normalizing rank aggregation method for priority of a fuzzy preference relation and its effectiveness. Int. J. Approx. Reason. 50(8), 1287–1297 (2009)
Yan, H.B., Ma, T., Li, Y.: A novel fuzzy linguistic model for prioritising engineering design requirements in quality function deployment under uncertainties. Int. J. Prod. Res. 51(21), 6336–6355 (2013)
Zadeh, L.A.: Fuzzy sets. Inf. Control 8(3), 338–353 (1965)
Zadeh, L.A.: The concept of a linguistic variable and its application to approximate reasoning-part I. Inf. Sci. 8(3), 199–249 (1975)
Acknowledgement
We would like to appreciate constructive comments and valuable suggestions from the anonymous referees. This study was partly supported by the National Natural Sciences Foundation of China (NSFC) under grant no. 71471063; sponsored by the Innovation Program of Shanghai Municipal Education Commission under grant no. 14ZS060; and supported by the Fundamental Research Funds for the Central Universities in China under grant no. WN1516009.
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Yan, HB. (2016). A Probability Based Approach to Evaluation of New Energy Alternatives. In: Huynh, VN., Inuiguchi, M., Le, B., Le, B., Denoeux, T. (eds) Integrated Uncertainty in Knowledge Modelling and Decision Making. IUKM 2016. Lecture Notes in Computer Science(), vol 9978. Springer, Cham. https://doi.org/10.1007/978-3-319-49046-5_7
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DOI: https://doi.org/10.1007/978-3-319-49046-5_7
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