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Solution of heterogeneous multi-attribute case-based decision making problems by using method based on TODIM. (English) Zbl 1490.91090

Summary: Heterogeneous multi-attribute case-based decision making (HMCBDM) is a type of complex and important problem encountered in many decision applications, and such problems involve real numbers, interval numbers, triangular fuzzy numbers, linguistic variables, and intuitionistic fuzzy numbers. However, heterogeneous multi-attributes are not fully considered in case-based decision making. Moreover, in the decision making process, the psychological behavior of the decision maker must be considered. To this end, this paper proposes a novel method for HMCBDM problems based on the TODIM (an acronym in Portuguese for interactive and multi-criteria decision making) method. First, the problem similarity and solution similarity are formulated. Next, a similar case set is constructed according to the problem and solution similarities. Further, the utility of the result of the historical solution is calculated. In addition, a ranking method based on TODIM is proposed, in which the problem similarity, solution similarity, and utility of the result of the historical solution are considered, and subsequently, the suitable solution(s) is obtained. Finally, a case study considering a gas explosion and pertaining to decision making in emergency situations is described to illustrate the use of the proposed method.

MSC:

91B06 Decision theory
Full Text: DOI

References:

[1] Chen, SM; Han, WH, A new multiattribute decision making method based on multiplication operations of interval-valued intuitionistic fuzzy values and linear programming methodology, Inf Sci, 429, 421-432 (2018) · Zbl 1437.91139 · doi:10.1016/j.ins.2017.11.018
[2] Dou, R.; Lin, D.; Nan, G.; Lei, S., A method for product personalized design based on prospect theory improved with interval reference, Comput Ind Eng, 125, 11, 708-719 (2018) · doi:10.1016/j.cie.2018.04.056
[3] Du, F.; Liu, F., An extension of case-based decision theory by using Dempster-Shafer theory of evidence, J Model Manag, 13, 1, 179-189 (2018) · doi:10.1108/JM2-12-2016-0136
[4] Fan, ZP; Zhang, X.; Chen, FD; Liu, Y., Extended TODIM method for hybrid multiple attribute decision making problems, Knowl-Based Syst, 42, 40-48 (2013) · doi:10.1016/j.knosys.2012.12.014
[5] Fan, ZP; Li, Y.; Wang, X.; Liu, Y., Hybrid similarity measure for case retrieval in CBR and its application to emergency response towards gas explosion, Expert Syst Appl, 41, 5, 2526-2534 (2014) · doi:10.1016/j.eswa.2013.09.051
[6] Gilboa, I.; Schmeidler, D., Case-based decision theory, Q J Econ, 110, 3, 605-639 (1995) · Zbl 0836.90005 · doi:10.2307/2946694
[7] Grosskopf, B.; Sarin, R.; Watson, E., An experiment on case-based decision making, Theor Decis, 79, 4, 639-666 (2015) · Zbl 1378.91049 · doi:10.1007/s11238-015-9492-1
[8] Hu, Z.; Rao, C.; Tao, C.; Childs, PRN, A case-based decision theory based process model to aid product conceptual design, Clust Comput, 9, 1-18 (2017)
[9] Huang, J.; Li, Z.; Liu, HC, New approach for failure mode and effect analysis using linguistic distribution assessments and TODIM method, Reliab Eng Syst Saf, 167, 302-309 (2017) · doi:10.1016/j.ress.2017.06.014
[10] Kinjo, K.; Ebina, T., Case-based decision model matches ideal point model: application to marketing decision support system, J Intell Inf Syst, 50, 2, 341-362 (2018) · doi:10.1007/s10844-017-0463-6
[11] Krause, A., Learning and herding using case-based decisions with local interactions, IEEE Trans Syst Man Cybern Part A Syst Hum, 39, 3, 662-669 (2009) · doi:10.1109/TSMCA.2009.2014542
[12] Lamy, JB; Sekar, B.; Guezennec, G., Explainable artificial intelligence for breast cancer: a visual case-based reasoning approach, Artif Intell Med, 94, 42-53 (2019) · doi:10.1016/j.artmed.2019.01.001
[13] Li, MY; Cao, PP, Extended TODIM method for multi-attribute risk decision making problems in emergency response, Comput Ind Eng (2018) · doi:10.1016/j.cie.2018.06.027
[14] Li, DF; Wan, SP, Fuzzy linear programming approach to multiattribute decision making with multiple types of attribute values and incomplete weight information, Appl Soft Comput J, 13, 11, 4333-4348 (2013) · doi:10.1016/j.asoc.2013.06.019
[15] Li, DF; Huang, ZG; Chen, GH, A systematic approach to heterogeneous multiattribute group decision making, Comput Ind Eng, 59, 4, 561-572 (2010) · doi:10.1016/j.cie.2010.06.015
[16] Li, Y.; Wang, YM; Chin, KS, An enhanced approach for two-sided matching with 2-tuple linguistic multi-attribute preference, Soft Comput (2018) · Zbl 1418.91393 · doi:10.1007/s00500-018-3436-y
[17] Lin, Y.; Wang, YM; Chin, KS, An enhanced approach for two-sided matching with 2-tuple linguistic multi-attribute preference, Soft Comput., 23, 7977-7990 (2018) · Zbl 1418.91393 · doi:10.1007/s00500-018-3436-y
[18] Liu, Y.; Fan, ZP; Zhang, Y., Risk decision analysis in emergency response: a method based on cumulative prospect theory, Comput Oper Res, 42, 2, 75-82 (2014) · Zbl 1348.91089 · doi:10.1016/j.cor.2012.08.008
[19] Liu, Y.; Fan, ZP; Yuan, Y.; Li, YH, A FTA-based method for risk decision-making in emergency response, Comput Oper Res, 42, 2, 49-57 (2014) · Zbl 1348.91088 · doi:10.1016/j.cor.2012.08.015
[20] Lourenzutti, R.; Renato, AK, A study of TODIM in a intuitionistic fuzzy and random environment, Expert Syst Appl, 40, 16, 6459-6468 (2013) · doi:10.1016/j.eswa.2013.05.070
[21] Marcin, R.; Pawel, P., A case-based reasoning approach to cost estimation of new product development, Neurocomputing, 272, 40-45 (2018) · doi:10.1016/j.neucom.2017.05.092
[22] Peng, JJ; Wang, JQ; Zhang, HY; Chen, XX, An outranking approach for multi-criteria decision-making problems with simplified neutrosophic sets, Appl Soft Comput, 25, 336-346 (2014) · doi:10.1016/j.asoc.2014.08.070
[23] Qi, J.; Hu, J.; Peng, YH; Wang, WM, A case retrieval method combined with similarity measurement and multi-criteria decision making for concurrent design, Expert Syst Appl, 36, 7, 10357-10366 (2009) · doi:10.1016/j.eswa.2009.01.042
[24] Qin, Q.; Liang, FF; Li, L.; Chen, YW, A TODIM-based multi-criteria group decision making with triangular intuitionistic fuzzy numbers, Appl Soft Comput, 55, 93-107 (2017) · doi:10.1016/j.asoc.2017.01.041
[25] Qin, J.; Liu, X.; Pedrycz, W., An extended TODIM multi-criteria group decision making method for green supplier selection in interval type-2 fuzzy environment, Eur J Oper Res, 258, 2, 626-638 (2017) · Zbl 1394.90362 · doi:10.1016/j.ejor.2016.09.059
[26] Tversky, KA, Prospect theory: an analysis of decision under risk, Econometrica, 47, 2, 263-292 (1979) · Zbl 0411.90012 · doi:10.2307/1914185
[27] Wang, L.; Zhang, ZX; Wang, YM, A prospect theory-based interval dynamic reference point method for emergency decision making, Expert Syst Appl, 42, 23, 9379-9388 (2015) · doi:10.1016/j.eswa.2015.07.056
[28] Wang, L.; Wang, YM; Luis, M., A group decision method based on prospect theory for emergency situations, Inf Sci, 418-419, 119-135 (2017) · doi:10.1016/j.ins.2017.07.037
[29] Xu, Z., Multi-person multi-attribute decision making models under intuitionistic fuzzy environment, Fuzzy Optim Decis Mak, 6, 3, 221-236 (2007) · Zbl 1180.90159 · doi:10.1007/s10700-007-9009-7
[30] Xu, Z.; Zhang, X., Hesitant fuzzy multi-attribute decision making based on TOPSIS with incomplete weight information, Knowl-Based Syst, 52, 6, 53-64 (2013) · doi:10.1016/j.knosys.2013.05.011
[31] Yan, A.; Yu, H.; Wang, D., Case-based reasoning classifier based on learning pseudo metric retrieval, Expert Syst Appl, 89, 15, 91-98 (2017) · doi:10.1016/j.eswa.2017.07.022
[32] Ye, J., Trapezoidal neutrosophic set and its application to multiple attribute decision-making, Neural Comput Appl, 26, 5, 1157-1166 (2015) · doi:10.1007/s00521-014-1787-6
[33] Yu, F.; Li, XY, Improving emergency response to cascading disasters: applying case-based reasoning towards urban critical infrastructure, Int J Disaster Risk Reduct, 30, 244-256 (2018) · doi:10.1016/j.ijdrr.2018.04.012
[34] Yu, GF; Li, DF; Fei, W., A novel method for heterogeneous multi-attribute group decision making with preference deviation, Comput Ind Eng, 124, 58-64 (2018) · doi:10.1016/j.cie.2018.07.013
[35] Yu, F.; Li, XY; Han, XS, Risk response for urban water supply network using case-based reasoning during a natural disaster, Saf Sci, 106, 121-139 (2018) · doi:10.1016/j.ssci.2018.03.003
[36] Zadeh, LA, Fuzzy sets, Inf Control, 8, 3, 338-353 (1965) · Zbl 0139.24606 · doi:10.1016/S0019-9958(65)90241-X
[37] Zhang, L.; Wang, Y.; Zhao, X., A new emergency decision support methodology based on multi-source knowledge in 2-tuple linguistic model, Knowl-Based Syst, 144, 77-87 (2018) · doi:10.1016/j.knosys.2017.12.026
[38] Zhao, K.; Yu, X., A case based reasoning approach on supplier selection in petroleum enterprises, Expert Syst Appl, 38, 6, 6839-6847 (2011) · doi:10.1016/j.eswa.2010.12.055
[39] Zheng, J.; Wang, YM; Chen, L.; Zhang, K., A new case retrieval method based on double frontiers data envelopment analysis, J Intell Fuzzy Syst, 36, 199-211 (2019) · doi:10.3233/JIFS-181106
[40] Zheng, J.; Wang, YM; Lin, Y.; Zhang, K., Hybrid multi-attribute case-retrieval method based on intuitionistic fuzzy and evidence reasoning, J Intell Fuzzy Syst, 36, 271-282 (2019) · doi:10.3233/JIFS-181269
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