How to cite this paper
Nasawat, P., Talangkun, S., Arunyanart, S & Wichapa, N. (2021). Hybrid cross-efficiency approach based on Ideal and Anti-Ideal points and the CRITIC method for ranking decision-making units: A case study on ranking the methods of rice weevil disinfestation.Decision Science Letters , 10(3), 375-392.
Refrences
Abdel-Basset, M., & Mohamed, R. (2020). A novel plithogenic TOPSIS- CRITIC model for sustainable supply chain risk management. Journal of Cleaner Production, 247, 119586. doi: https://doi.org/10.1016/j.jclepro.2019.119586
Andersen, P., & Petersen, N. C. (1993). A Procedure for Ranking Efficient Units in Data Envelopment Analysis. Management Science, 39(10), 1261-1264. doi: 10.1287/mnsc.39.10.1261
Bellver, J., Cervelló, R., & García, F. (2011). Spanish savings banks and their future transformation into private capital banks.determining their value by a multicriteria valuation methodology. European Journal of Economics, Finance and Administrative Sciences, 155-164.
Chandra, P., Cooper, W. W., Li, S., & Rahman, A. (1998). Using DEA To evaluate 29 Canadian textile companies — Considering returns to scale. International Journal of Production Economics, 54(2), 129-141. doi: https://doi.org/10.1016/S0925-5273(97)00135-7
Charnes, A. W., Cooper, W. W., & Rhodes, E. (1979). Measuring The Efficiency of Decision Making Units. European Journal of Operational Research, 2, 429-444. doi: 10.1016/0377-2217(78)90138-8
Cook, W. D., Roll, Y., & Kazakov, A. (1990). A dea model for measuring the relative eeficiency of highway maintenance patrols. INFOR: Information Systems and Operational Research, 28(2), 113-124.
Davoodi, A., & Rezai, H. Z. (2012). Common set of weights in data envelopment analysis: a linear programming problem. Central European Journal of Operations Research, 20(2), 355-365. doi: 10.1007/s10100-011-0195-6
Diakoulaki, D., Mavrotas, G., & Papayannakis, L. (1995). Determining objective weights in multiple criteria problems: The critic method. Computers & Operations Research, 22(7), 763-770. doi: https://doi.org/10.1016/0305-0548(94)00059-H
Doyle, J., & Green, R. (1994). Efficiency and cross-efficiency in DEA: Derivations, meanings and uses. Journal of The Operational Research Society, 45(5), 567-578.
Farrell, M. J. (1957). The Measurement of Productive Efficiency. Journal of the Royal Statistical Society. Series A (General), 120(3), 253-290. doi: 10.2307/2343100
Hou, Q., Wang, M., & Zhou, X. (2018). Improved DEA Cross Efficiency Evaluation Method Based on Ideal and Anti-Ideal Points. Discrete Dynamics in Nature and Society, 2018, 1604298. doi: 10.1155/2018/1604298
Kazan, H., & Ozdemir, O. (2014). Financial performance assessment of large scale conglomerates via TOPSIS and CRITIC methods. International Journal of Management and Sustainability, 3(4), 203.
Keshavarz Ghorabaee, M., Amiri, M., Zavadskas, E. K., & Antucheviciene, J. (2018). A new hybrid fuzzy MCDM approach for evaluation of construction equipment with sustainability considerations. Archives of Civil and Mechanical Engineering, 18(1), 32-49. doi: https://doi.org/10.1016/j.acme.2017.04.011
Kuah, C., Wong, K., & Behrouzi, F. (2010). A review on Data Envelopment Analysis (DEA). Asia International Conference on Modelling & Simulation, 0, 168-173. doi: 10.1109/AMS.2010.45
Lesik, I., Bobrovska, N., Bilichenko, O., Dranus, L., Lykhach, V., Dranus, V., . . . Nazarenko, I. (2020). Assessment of management efficiency and infrastructure development of Ukraine. Management Science Letters, 10(13), 3071-3080. doi: 10.5267/j.msl.2020.5.016
Li, X.-B., & Reeves, G. R. (1999). A multiple criteria approach to data envelopment analysis. European Journal of Operational Research, 115(3), 507-517. doi: https://doi.org/10.1016/S0377-2217(98)00130-1
Liang, L., Yang, F., Cook, W. D., & Zhu, J. (2006). DEA models for supply chain efficiency evaluation. Annals of Operations Research, 145(1), 35-49.
Liu, J. S., Lu, L. Y. Y., & Lu, W.-M. (2016). Research fronts in data envelopment analysis. Omega, 58, 33-45. doi: https://doi.org/10.1016/j.omega.2015.04.004
Mardani, A., Zavadskas, E. K., Streimikiene, D., Jusoh, A., & Khoshnoudi, M. (2017). A comprehensive review of data envelopment analysis (DEA) approach in energy efficiency. Renewable and Sustainable Energy Reviews, 70, 1298-1322. doi: https://doi.org/10.1016/j.rser.2016.12.030
Rostamzadeh, R., Ghorabaee, M. K., Govindan, K., Esmaeili, A., & Nobar, H. B. K. (2018). Evaluation of sustainable supply chain risk management using an integrated fuzzy TOPSIS-CRITIC approach. Journal of Cleaner Production, 175, 651-669.
Ruiz, J. L., & Sirvent, I. (2012). On the DEA total weight flexibility and the aggregation in cross-efficiency evaluations. European Journal of Operational Research, 223(3), 732-738. doi: https://doi.org/10.1016/j.ejor.2012.06.011
Sexton, Thomas R., Silkman, Richard H., & Hogan, Andrew J. (1986). Data envelopment analysis: Critique and extensions. New Directions for Program Evaluation, 1986(32), 73-105. doi: 10.1002/ev.1441
Shannon, C. E. (1948). A mathematical theory of communication. The Bell System Technical Journal, 27(3), 379-423. doi: 10.1002/j.1538-7305.1948.tb01338.x
Si, Q., & Ma, Z. (2019). DEA cross-efficiency ranking method based on grey correlation degree and relative entropy. Entropy, 21(10), 966.
Statista. (2019). Retrieved 19, 2020, from https://www.statista.com/statistics/993374/thailand-real-gdp-growth-agriculture-sector/
Sueyoshi, T. (1999). DEA non-parametric ranking test and index measurement: slack-adjusted DEA and an application to Japanese agriculture cooperatives. Omega, 27(3), 315-326. doi: https://doi.org/10.1016/S0305-0483(98)00057-7
Sun, J., Wu, J., & Guo, D. (2013). Performance ranking of units considering ideal and anti-ideal DMU with common weights. Applied Mathematical Modelling, 37(9), 6301-6310. doi: https://doi.org/10.1016/j.apm.2013.01.010
Tofallis, C. (1997a). Input efficiency profiling: An application to airlines. Computers & OR, 24, 253-258. doi: 10.1016/S0305-0548(96)00067-6
Tofallis, Chris. (1997b). Input efficiency profiling: An application to airlines. Computers & Operations Research, 24(3), 253-258. doi: https://doi.org/10.1016/S0305-0548(96)00067-6
Vujicic, M., Papic, M., & Blagojević, M. (2017). Comparative analysis of objective techniques for criteria weighing in two MCDM methods on example of an air conditioner selection. Tehnika, 72, 422-429. doi: 10.5937/tehnika1703422V
Wang, Chin, & Luo. (2011). Cross-efficiency evaluation based on ideal and anti-ideal decision making units. Expert Systems with Applications, 38(8), 10312-10319. doi: https://doi.org/10.1016/j.eswa.2011.02.116
Wang, & Zhao. (2016). Design optimization of mechanical properties of ceramic tool material during turning of ultra-high-strength steel 300M with AHP and CRITIC method. The International Journal of Advanced Manufacturing Technology, 84(9-12), 2381-2390.
Wang, Y.-M., & Chin, K.-S. (2010). A neutral DEA model for cross-efficiency evaluation and its extension. Expert Systems with Applications, 37(5), 3666-3675. doi: https://doi.org/10.1016/j.eswa.2009.10.024
Wang, Y.-M., Chin, K.-S., & Leung, J. P.-F. (2009). A note on the application of the data envelopment analytic hierarchy process for supplier selection. International Journal of Production Research, 47(11), 3121-3138. doi: 10.1080/00207540701805653
Wei, C.-K., Chen, L.-C., Li, R.-K., & Tsai, C.-H. (2011). Exploration of efficiency underestimation of CCR model: Based on medical sectors with DEA-R model. Expert Systems with Applications, 38(4), 3155-3160. doi: https://doi.org/10.1016/j.eswa.2010.08.108
Wei, G., Lei, F., Lin, R., Wang, R., Wei, Yu, W., Jiang, & Wei, C. (2020). Algorithms for probabilistic uncertain linguistic multiple attribute group decision making based on the GRA and CRITIC method: application to location planning of electric vehicle charging stations. Economic Research-Ekonomska Istraživanja, 33(1), 828-846. doi: 10.1080/1331677X.2020.1734851
Wichapa, & K. (2019). A novel holistic approach for solving the multi-criteria transshipment problem for infectious waste management. Decision Science Letters, 8, 441-454.
Wichapa, Khokhajaikiat, & Chaiphet. (2021). Aggregating the results of benevolent and aggressive models by the CRITIC method for ranking of decision-making units: A case study on seven biomass fuel briquettes generated from agricultural waste. Decision Science Letters, 10(1), 79-92.
Wu, H.-W., Zhen, J., & Zhang, J. (2020). Urban rail transit operation safety evaluation based on an improved CRITIC method and cloud model. Journal of Rail Transport Planning & Management, 100206. doi: https://doi.org/10.1016/j.jrtpm.2020.100206
Wu, J., Sun, J., Zha, Y., & Liang, L. (2011). Ranking approach of cross-efficiency based on improved TOPSIS technique. Journal of Systems Engineering and Electronics, 22(4), 604-608.
Zhao, M., Wang, X., Yu, J., Xue, L., & Yang, S. (2020). A Construction Schedule Robustness Measure Based on Improved Prospect Theory and the Copula-CRITIC Method. Applied Sciences, 10(6), 2013.
Andersen, P., & Petersen, N. C. (1993). A Procedure for Ranking Efficient Units in Data Envelopment Analysis. Management Science, 39(10), 1261-1264. doi: 10.1287/mnsc.39.10.1261
Bellver, J., Cervelló, R., & García, F. (2011). Spanish savings banks and their future transformation into private capital banks.determining their value by a multicriteria valuation methodology. European Journal of Economics, Finance and Administrative Sciences, 155-164.
Chandra, P., Cooper, W. W., Li, S., & Rahman, A. (1998). Using DEA To evaluate 29 Canadian textile companies — Considering returns to scale. International Journal of Production Economics, 54(2), 129-141. doi: https://doi.org/10.1016/S0925-5273(97)00135-7
Charnes, A. W., Cooper, W. W., & Rhodes, E. (1979). Measuring The Efficiency of Decision Making Units. European Journal of Operational Research, 2, 429-444. doi: 10.1016/0377-2217(78)90138-8
Cook, W. D., Roll, Y., & Kazakov, A. (1990). A dea model for measuring the relative eeficiency of highway maintenance patrols. INFOR: Information Systems and Operational Research, 28(2), 113-124.
Davoodi, A., & Rezai, H. Z. (2012). Common set of weights in data envelopment analysis: a linear programming problem. Central European Journal of Operations Research, 20(2), 355-365. doi: 10.1007/s10100-011-0195-6
Diakoulaki, D., Mavrotas, G., & Papayannakis, L. (1995). Determining objective weights in multiple criteria problems: The critic method. Computers & Operations Research, 22(7), 763-770. doi: https://doi.org/10.1016/0305-0548(94)00059-H
Doyle, J., & Green, R. (1994). Efficiency and cross-efficiency in DEA: Derivations, meanings and uses. Journal of The Operational Research Society, 45(5), 567-578.
Farrell, M. J. (1957). The Measurement of Productive Efficiency. Journal of the Royal Statistical Society. Series A (General), 120(3), 253-290. doi: 10.2307/2343100
Hou, Q., Wang, M., & Zhou, X. (2018). Improved DEA Cross Efficiency Evaluation Method Based on Ideal and Anti-Ideal Points. Discrete Dynamics in Nature and Society, 2018, 1604298. doi: 10.1155/2018/1604298
Kazan, H., & Ozdemir, O. (2014). Financial performance assessment of large scale conglomerates via TOPSIS and CRITIC methods. International Journal of Management and Sustainability, 3(4), 203.
Keshavarz Ghorabaee, M., Amiri, M., Zavadskas, E. K., & Antucheviciene, J. (2018). A new hybrid fuzzy MCDM approach for evaluation of construction equipment with sustainability considerations. Archives of Civil and Mechanical Engineering, 18(1), 32-49. doi: https://doi.org/10.1016/j.acme.2017.04.011
Kuah, C., Wong, K., & Behrouzi, F. (2010). A review on Data Envelopment Analysis (DEA). Asia International Conference on Modelling & Simulation, 0, 168-173. doi: 10.1109/AMS.2010.45
Lesik, I., Bobrovska, N., Bilichenko, O., Dranus, L., Lykhach, V., Dranus, V., . . . Nazarenko, I. (2020). Assessment of management efficiency and infrastructure development of Ukraine. Management Science Letters, 10(13), 3071-3080. doi: 10.5267/j.msl.2020.5.016
Li, X.-B., & Reeves, G. R. (1999). A multiple criteria approach to data envelopment analysis. European Journal of Operational Research, 115(3), 507-517. doi: https://doi.org/10.1016/S0377-2217(98)00130-1
Liang, L., Yang, F., Cook, W. D., & Zhu, J. (2006). DEA models for supply chain efficiency evaluation. Annals of Operations Research, 145(1), 35-49.
Liu, J. S., Lu, L. Y. Y., & Lu, W.-M. (2016). Research fronts in data envelopment analysis. Omega, 58, 33-45. doi: https://doi.org/10.1016/j.omega.2015.04.004
Mardani, A., Zavadskas, E. K., Streimikiene, D., Jusoh, A., & Khoshnoudi, M. (2017). A comprehensive review of data envelopment analysis (DEA) approach in energy efficiency. Renewable and Sustainable Energy Reviews, 70, 1298-1322. doi: https://doi.org/10.1016/j.rser.2016.12.030
Rostamzadeh, R., Ghorabaee, M. K., Govindan, K., Esmaeili, A., & Nobar, H. B. K. (2018). Evaluation of sustainable supply chain risk management using an integrated fuzzy TOPSIS-CRITIC approach. Journal of Cleaner Production, 175, 651-669.
Ruiz, J. L., & Sirvent, I. (2012). On the DEA total weight flexibility and the aggregation in cross-efficiency evaluations. European Journal of Operational Research, 223(3), 732-738. doi: https://doi.org/10.1016/j.ejor.2012.06.011
Sexton, Thomas R., Silkman, Richard H., & Hogan, Andrew J. (1986). Data envelopment analysis: Critique and extensions. New Directions for Program Evaluation, 1986(32), 73-105. doi: 10.1002/ev.1441
Shannon, C. E. (1948). A mathematical theory of communication. The Bell System Technical Journal, 27(3), 379-423. doi: 10.1002/j.1538-7305.1948.tb01338.x
Si, Q., & Ma, Z. (2019). DEA cross-efficiency ranking method based on grey correlation degree and relative entropy. Entropy, 21(10), 966.
Statista. (2019). Retrieved 19, 2020, from https://www.statista.com/statistics/993374/thailand-real-gdp-growth-agriculture-sector/
Sueyoshi, T. (1999). DEA non-parametric ranking test and index measurement: slack-adjusted DEA and an application to Japanese agriculture cooperatives. Omega, 27(3), 315-326. doi: https://doi.org/10.1016/S0305-0483(98)00057-7
Sun, J., Wu, J., & Guo, D. (2013). Performance ranking of units considering ideal and anti-ideal DMU with common weights. Applied Mathematical Modelling, 37(9), 6301-6310. doi: https://doi.org/10.1016/j.apm.2013.01.010
Tofallis, C. (1997a). Input efficiency profiling: An application to airlines. Computers & OR, 24, 253-258. doi: 10.1016/S0305-0548(96)00067-6
Tofallis, Chris. (1997b). Input efficiency profiling: An application to airlines. Computers & Operations Research, 24(3), 253-258. doi: https://doi.org/10.1016/S0305-0548(96)00067-6
Vujicic, M., Papic, M., & Blagojević, M. (2017). Comparative analysis of objective techniques for criteria weighing in two MCDM methods on example of an air conditioner selection. Tehnika, 72, 422-429. doi: 10.5937/tehnika1703422V
Wang, Chin, & Luo. (2011). Cross-efficiency evaluation based on ideal and anti-ideal decision making units. Expert Systems with Applications, 38(8), 10312-10319. doi: https://doi.org/10.1016/j.eswa.2011.02.116
Wang, & Zhao. (2016). Design optimization of mechanical properties of ceramic tool material during turning of ultra-high-strength steel 300M with AHP and CRITIC method. The International Journal of Advanced Manufacturing Technology, 84(9-12), 2381-2390.
Wang, Y.-M., & Chin, K.-S. (2010). A neutral DEA model for cross-efficiency evaluation and its extension. Expert Systems with Applications, 37(5), 3666-3675. doi: https://doi.org/10.1016/j.eswa.2009.10.024
Wang, Y.-M., Chin, K.-S., & Leung, J. P.-F. (2009). A note on the application of the data envelopment analytic hierarchy process for supplier selection. International Journal of Production Research, 47(11), 3121-3138. doi: 10.1080/00207540701805653
Wei, C.-K., Chen, L.-C., Li, R.-K., & Tsai, C.-H. (2011). Exploration of efficiency underestimation of CCR model: Based on medical sectors with DEA-R model. Expert Systems with Applications, 38(4), 3155-3160. doi: https://doi.org/10.1016/j.eswa.2010.08.108
Wei, G., Lei, F., Lin, R., Wang, R., Wei, Yu, W., Jiang, & Wei, C. (2020). Algorithms for probabilistic uncertain linguistic multiple attribute group decision making based on the GRA and CRITIC method: application to location planning of electric vehicle charging stations. Economic Research-Ekonomska Istraživanja, 33(1), 828-846. doi: 10.1080/1331677X.2020.1734851
Wichapa, & K. (2019). A novel holistic approach for solving the multi-criteria transshipment problem for infectious waste management. Decision Science Letters, 8, 441-454.
Wichapa, Khokhajaikiat, & Chaiphet. (2021). Aggregating the results of benevolent and aggressive models by the CRITIC method for ranking of decision-making units: A case study on seven biomass fuel briquettes generated from agricultural waste. Decision Science Letters, 10(1), 79-92.
Wu, H.-W., Zhen, J., & Zhang, J. (2020). Urban rail transit operation safety evaluation based on an improved CRITIC method and cloud model. Journal of Rail Transport Planning & Management, 100206. doi: https://doi.org/10.1016/j.jrtpm.2020.100206
Wu, J., Sun, J., Zha, Y., & Liang, L. (2011). Ranking approach of cross-efficiency based on improved TOPSIS technique. Journal of Systems Engineering and Electronics, 22(4), 604-608.
Zhao, M., Wang, X., Yu, J., Xue, L., & Yang, S. (2020). A Construction Schedule Robustness Measure Based on Improved Prospect Theory and the Copula-CRITIC Method. Applied Sciences, 10(6), 2013.