메뉴 건너뛰기




Volumn 12, Issue 8, 2012, Pages 2614-2630

An integrated fuzzy regression-data envelopment analysis algorithm for optimum oil consumption estimation with ambiguous data

Author keywords

Data envelopment analysis; Fuzzy mathematical programming; Fuzzy regression; Oil consumption estimation; Optimization

Indexed keywords

AMBIGUOUS DATA; ANALYSIS ALGORITHMS; AUSTRALIA; AVERAGE METHOD; DEFUZZIFICATIONS; ECONOMIC FACTORS; ESTIMATION AND OPTIMIZATION; FUZZY MATHEMATICAL PROGRAMMING; FUZZY REGRESSIONS; GROSS DOMESTIC PRODUCTIONS; INPUT DATAS; OIL CONSUMPTION; OIL PRODUCTION; RELATIVE ERRORS; TEST DATA;

EID: 84861892440     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2012.03.026     Document Type: Article
Times cited : (19)

References (33)
  • 1
    • 44449171970 scopus 로고    scopus 로고
    • Improved estimation of electricity demand function by integration of fuzzy system and data mining approach
    • A. Azadeh, M. Saberi, S.F. Ghaderi, A. Gitiforouz, and V. Ebrahimipour Improved estimation of electricity demand function by integration of fuzzy system and data mining approach Energy Conversion and Management 49 8 2008 2165 2177
    • (2008) Energy Conversion and Management , vol.49 , Issue.8 , pp. 2165-2177
    • Azadeh, A.1    Saberi, M.2    Ghaderi, S.F.3    Gitiforouz, A.4    Ebrahimipour, V.5
  • 2
    • 84861849011 scopus 로고    scopus 로고
    • An integrated simulated-based fuzzy regression algorithm and time series for energy consumption estimation with non-stationary data in Iran. Energy Policy 2008
    • A. Azadeh, M. Saberi, and A. Gitiforouz An integrated simulated-based fuzzy regression algorithm and time series for energy consumption estimation with non-stationary data in Iran. Energy Policy 2008 Journal of the Chinese Institute of Engineers 34 8 2011 1047 1066
    • (2011) Journal of the Chinese Institute of Engineers , vol.34 , Issue.8 , pp. 1047-1066
    • Azadeh, A.1    Saberi, M.2    Gitiforouz, A.3
  • 5
    • 0000651556 scopus 로고    scopus 로고
    • Applying fuzzy linear regression to VDT legibility
    • P.T. Chang, S.A. Konz, and E.S. Lee Applying fuzzy linear regression to VDT legibility Fuzzy Sets and Systems 80 1996 197 204 (Pubitemid 126682864)
    • (1996) Fuzzy Sets and Systems , vol.80 , Issue.2 , pp. 197-204
    • Chang, P.-T.1    Lee, E.S.2    Konz, S.A.3
  • 6
    • 0028410373 scopus 로고
    • A fuzzy approach for multi-response optimization: An off-line quality engineering problem
    • Y.J. Lai, and S.I. Chang A fuzzy approach for multi-response optimization: an off-line quality engineering problem Fuzzy Sets and Systems 63 1994 117 129
    • (1994) Fuzzy Sets and Systems , vol.63 , pp. 117-129
    • Lai, Y.J.1    Chang, S.I.2
  • 7
    • 58549085743 scopus 로고    scopus 로고
    • A novel fuzzy linear regression model based on a non-equality possibility index and optimum uncertainty
    • G.H. Shakouri, and R. Nadimi A novel fuzzy linear regression model based on a non-equality possibility index and optimum uncertainty Applied Soft Computing 9 2 2009 590 598
    • (2009) Applied Soft Computing , vol.9 , Issue.2 , pp. 590-598
    • Shakouri, G.H.1    Nadimi, R.2
  • 8
    • 56349147432 scopus 로고    scopus 로고
    • A hybrid TSK-FR model to study short-term variations of the electricity demand versus the temperature changes. Part 1
    • G.H. Shakouri, R. Nadimi, and F. Ghaderi A hybrid TSK-FR model to study short-term variations of the electricity demand versus the temperature changes. Part 1 Expert Systems with Applications 36 2 2009 1765 1772
    • (2009) Expert Systems with Applications , vol.36 , Issue.2 , pp. 1765-1772
    • Shakouri, G.H.1    Nadimi, R.2    Ghaderi, F.3
  • 9
    • 0028407151 scopus 로고
    • Fuzzy linear regression with fuzzy intervals
    • G. Peters Fuzzy linear regression with fuzzy intervals Fuzzy Sets and Systems 63 1994 45 55
    • (1994) Fuzzy Sets and Systems , vol.63 , pp. 45-55
    • Peters, G.1
  • 10
    • 0000112338 scopus 로고    scopus 로고
    • A generalized fuzzy weighted least-squares regression
    • P.T. Chang, and E.S. Lee A generalized fuzzy weighted least-squares regression Fuzzy Sets and Systems 82 1996 289 298 (Pubitemid 126667475)
    • (1996) Fuzzy Sets and Systems , vol.82 , Issue.3 , pp. 289-298
    • Chang, P.-T.1    Lee, E.S.2
  • 11
    • 0001325256 scopus 로고    scopus 로고
    • Insight of a fuzzy regression model
    • H.F. Wang, and R.C. Tsaur Insight of a fuzzy regression model Fuzzy Sets and Systems 112 2000 355 369
    • (2000) Fuzzy Sets and Systems , vol.112 , pp. 355-369
    • Wang, H.F.1    Tsaur, R.C.2
  • 12
    • 0035313747 scopus 로고    scopus 로고
    • Fuzzy regression methods - A comparative assessment
    • Y.H.O. Chang, and B.M. Ayyub Fuzzy regression methods - a comparative assessment Fuzzy Sets and Systems 119 2001 187 203
    • (2001) Fuzzy Sets and Systems , vol.119 , pp. 187-203
    • Chang, Y.H.O.1    Ayyub, B.M.2
  • 13
    • 0001190023 scopus 로고
    • Least squares model fitting to fuzzy vector data
    • A. Celmins Least squares model fitting to fuzzy vector data Fuzzy Sets and Systems 22 1987 245 269
    • (1987) Fuzzy Sets and Systems , vol.22 , pp. 245-269
    • Celmins, A.1
  • 14
  • 15
    • 0001875235 scopus 로고
    • Evaluation of fuzzy regression models
    • D. Savic, and W. Pedrycz Evaluation of fuzzy regression models Fuzzy Sets and Systems 39 1991 51 63
    • (1991) Fuzzy Sets and Systems , vol.39 , pp. 51-63
    • Savic, D.1    Pedrycz, W.2
  • 16
    • 38249038096 scopus 로고
    • Multidimensional least-squares model fitting of fuzzy models
    • A. Celmins Multidimensional least-squares model fitting of fuzzy models Mathematical and Computer Modeling 9 1987 669 690
    • (1987) Mathematical and Computer Modeling , vol.9 , pp. 669-690
    • Celmins, A.1
  • 17
    • 13544267455 scopus 로고    scopus 로고
    • A simple method for computation of fuzzy linear regression
    • DOI 10.1016/j.ejor.2004.01.039, PII S0377221704001080
    • M. Hojati, C.R. Bector, and K. Smimou A simple method for computation of fuzzy linear regression European Journal of Operational Research 166 2005 172 184 (Pubitemid 40219822)
    • (2005) European Journal of Operational Research , vol.166 , Issue.SPEC. ISS. , pp. 172-184
    • Hojati, M.1    Bector, C.R.2    Smimou, K.3
  • 18
    • 34250170125 scopus 로고    scopus 로고
    • Predicting electricity energy consumption: A comparison of regression analysis, decision tree and neural networks
    • DOI 10.1016/j.energy.2006.11.010, PII S0360544206003288
    • G.K.F. Tso, and K.K.W. Yau Predicting electricity energy consumption: a comparison of regression analysis, decision tree and neural networks Energy 32 9 2007 1761 1768 (Pubitemid 46898687)
    • (2007) Energy , vol.32 , Issue.9 , pp. 1761-1768
    • Tso, G.K.F.1    Yau, K.K.W.2
  • 19
    • 34247109046 scopus 로고    scopus 로고
    • Prediction of hourly and daily diffuse fraction using neural network, as compared to linear regression models
    • DOI 10.1016/j.energy.2006.10.010, PII S0360544206002969
    • H.K. Elminir, Y.A. Azzam, and F.I. Younes Prediction of hourly and daily diffuse fraction using neural network, as compared to linear regression models Energy 32 8 2007 1513 1523 (Pubitemid 46591943)
    • (2007) Energy , vol.32 , Issue.8 , pp. 1513-1523
    • Elminir, H.K.1    Azzam, Y.A.2    Younes, F.I.3
  • 22
    • 0018032112 scopus 로고
    • Measuring the efficiency of decision making units
    • DOI 10.1016/0377-2217(78)90138-8
    • A. Charnes, W.W. Cooper, and E. Rhodes Measuring the efficiency of decision making units European Journal of Operational Research 2 1978 429 444 (Pubitemid 9402758)
    • (1978) European Journal of Operational Research , vol.2 , Issue.6 , pp. 429-444
    • Charnes, A.1    Cooper, W.W.2    Rhodes, E.3
  • 23
    • 0021497874 scopus 로고
    • Some models for estimating technical and scale inefficiencies in data envelopment analysis
    • R.D. Banker, A. Charnes, and W.W. Cooper Some models for estimating technical and scale inefficiencies in Data Envelopment Analysis Management Science 30 1984 1078 1092 (Pubitemid 14651320)
    • (1984) Management Science , vol.30 , Issue.9 , pp. 1078-1092
    • Banker, R.D.1    Charnes, A.2    Cooper, W.W.3
  • 24
    • 0000662569 scopus 로고    scopus 로고
    • Evaluation of fuzzy linear regression models by comparing membership functions
    • B. Kim, and R. Bishu Evaluation of fuzzy linear regression models by comparing membership functions Fuzzy Sets and Systems 100 1998 342 352
    • (1998) Fuzzy Sets and Systems , vol.100 , pp. 342-352
    • Kim, B.1    Bishu, R.2
  • 25
    • 13544257130 scopus 로고    scopus 로고
    • Fuzzy linear regression models with least square errors
    • DOI 10.1016/j.amc.2004.05.004, PII S0096300304002747
    • M. Modarres, E. Nasrabadi, and M.M. Nasrabadi Fuzzy linear regression with least squares errors Applied Mathematics and Computation 163 2005 977 989 (Pubitemid 40219934)
    • (2005) Applied Mathematics and Computation , vol.163 , Issue.2 , pp. 977-989
    • Modarres, M.1    Nasrabadi, E.2    Nasrabadi, M.M.3
  • 26
    • 38249016076 scopus 로고
    • On the effect of linear data transformations in possibilistic fuzzy linear regression
    • S. Jozsef On the effect of linear data transformations in possibilistic fuzzy linear regression Fuzzy Sets and Systems 45 1992 185 188
    • (1992) Fuzzy Sets and Systems , vol.45 , pp. 185-188
    • Jozsef, S.1
  • 28
    • 3242675121 scopus 로고    scopus 로고
    • A mathematical-programming approach to fuzzy linear regression analysis
    • M.M. Nasrabadi, and E. Nasrabadi A mathematical-programming approach to fuzzy linear regression analysis Applied Mathematics and Computation 155 2004 873 881
    • (2004) Applied Mathematics and Computation , vol.155 , pp. 873-881
    • Nasrabadi, M.M.1    Nasrabadi, E.2
  • 29
    • 12444257761 scopus 로고    scopus 로고
    • Fuzzy linear regression analysis: A multi-objective programming approach
    • DOI 10.1016/j.amc.2004.02.008, PII S0096300304002231
    • M.M. Nasrabadi, E. Nasrabadi, and A.R. Nasrabadi Fuzzy linear regression analysis: a multi-objective programming approach Applied Mathematics and Computation 163 2005 245 251 (Pubitemid 40146294)
    • (2005) Applied Mathematics and Computation , vol.163 , Issue.1 , pp. 245-251
    • Nasrabadi, M.M.1    Nasrabadi, E.2    Nasrabady, A.R.3
  • 30
    • 0034009146 scopus 로고    scopus 로고
    • Multi-objective fuzzy regression: A general framework
    • DOI 10.1016/S0305-0548(99)00110-0, PII S0305054899001100, Artificial intelligence and decision support with multiple criteria
    • E.C. Ozelkan, and L. Duckstein Multi-objective fuzzy regression: a general framework Computers and Operations Research 27 2000 635 652 (Pubitemid 30234093)
    • (2000) Computers and Operations Research , vol.27 , Issue.7-8 , pp. 635-652
    • Ozelkan, E.C.1    Duckstein, L.2
  • 31
    • 0001563202 scopus 로고
    • Multi-objective fuzzy linear regression analysis for fuzzy input-output data
    • M. Sakawa, and H. Yano Multi-objective fuzzy linear regression analysis for fuzzy input-output data Fuzzy Sets and Systems 47 1992 173 181
    • (1992) Fuzzy Sets and Systems , vol.47 , pp. 173-181
    • Sakawa, M.1    Yano, H.2
  • 33
    • 33645030606 scopus 로고    scopus 로고
    • Modeling of thermal comfort in air conditioned rooms by fuzzy regression analysis
    • K. Chen, M.J. Rys, and E.S. Lee Modeling of thermal comfort in air conditioned rooms by fuzzy regression analysis Mathematical and Computer Modeling 43 2006 809 819
    • (2006) Mathematical and Computer Modeling , vol.43 , pp. 809-819
    • Chen, K.1    Rys, M.J.2    Lee, E.S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.