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    المساهمون: Consejo Nacional de Humanidades, Ciencias y Tecnolog?as, Program for the Professional Development of Teachers in Higher Education

    المصدر: The Journal of Organic Chemistry ; ISSN 0022-3263 1520-6904

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    المساهمون: Consejo Nacional de Humanidades, Ciencias y Tecnolog?as

    المصدر: The Journal of Organic Chemistry ; volume 89, issue 7, page 4916-4922 ; ISSN 0022-3263 1520-6904

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    وصف الملف: application/pdf

    Relation: mr:MR4567846; zbl:Zbl 07675647; reference:[1] Arapostathis, A., Borkar, V. S., Fernández-Gaucherand, E., Gosh, M. K., Marcus, S. I.: Discrete-time controlled Markov processes with average cost criterion: a survey.SIAM J. Control Optim. 32 (1993), 2, 282-344. MR 1205981; reference:[2] Carrero-Vera, K., Cruz-Suárez, H., Montes-de-Oca, R.: Discounted Markov decision processes with fuzzy rewards induced by non-fuzzy systems.In: Proc. 10th International Conference on Operations Research and Enterprise Systems ICORES 2021, pp. 49-59.; reference:[3] Carrero-Vera, K., Cruz-Suárez, H., Montes-de-Oca, R.: Markov decision proceses on finite spaces with fuzzy total reward.Kybernetika 58 (2022), 2, 180-199. MR 4467492; reference:[4] Chen, S. J., Chen, S. M.: Fuzzy risk analysis based on the ranking of generalized trapezoidal fuzzy numbers.Appl. Intell. 26 (2007), 1, 1-11.; reference:[5] Chung, Y. L., Tsai, Z. N.: A quantized water-filling packet scheduling scheme for downlink transmissions in LTE-advanced systems with carrier aggregation.In: SoftCOM 2010, 18th International Conference on Software, Telecommunications and Computer Networks IEEE (2010), pp. 275-279.; reference:[6] Diamond, P., Kloeden, P.: Metric Spaces of Fuzzy Sets: Theory and Applications.World Scientific, Singapore 1994. MR 1337027; reference:[7] Ebrahimnejad, A.: A simplified new approach for solving fuzzy transportation problems with generalized trapezoidal fuzzy numbers.Appl. Soft Comput. 19 (2014), 171-176. MR 3414360; reference:[8] Furukawa, N.: Parametric orders on fuzzy numbers and their roles in fuzzy optimization problems.Optimization 40 (1997), 171-192. MR 1620380; reference:[9] Hernández-Lerma, O., Lasserre, J. B.: Discrete-Time Markov Control Processes: Basic Optimality Criteria.Springer-Verlag, New York, 1996. Zbl 0840.93001, MR 1363487; reference:[10] Kageyama, M.: Credibilistic Markov decision processes: the average case.J. Comput. Appl. Math. 224 (2009), 1, 140-145. MR 2474219; reference:[11] Kaur, A., Kumar, A.: A new approach for solving fuzzy transportation problems using generalized trapezoidal fuzzy numbers.Appl. Soft Comput. 12 (2012), 3, 1201-1213. MR 3040892; reference:[12] Konstantin, E., Avrachenkov, E., Sanchez, E.: Fuzzy Markov chains and decision-making.Fuzzy Optim. Decis. Making 1 (2002), 12, 143-159. MR 1921754, 10.1023/A:1015729400380; reference:[13] Kurano, M., Yasuda, M., Nakagami, J., Yoshida, Y.: A fuzzy treatment of uncertain Markov decision processes: average case.In: Proc. ASSM2000 International Conference on Applied Stochastic System Modeling, Kyoto 2000, pp. 148-157. MR 1782634; reference:[14] Kurano, M., Yasuda, M., Nakagami, J., Yoshida, Y.: Markov-type fuzzy decision processes with a discounted reward on a closed interval.Eur. J. Oper. Res. 92 (1996), 3, 649-662. MR 1328908; reference:[15] Kurano, M., Yasuda, M., Nakagami, J., Yoshida, Y.: Markov decision processes with fuzzy rewards.J. Nonlinear Convex Anal. 4 (1996), 1, 105-116. MR 1986973; reference:[16] Kurano, M., Yasuda, M., Nakagami, J., Yoshida, Y.: Perceptive evaluation for the optimal discounted reward in Markov decision processes.In: International Conference on Modeling Decisions for Artificial Intelligence, Springer 2005, pp. 283-293.; reference:[17] Kurano, M., Yasuda, M., Nakagami, J., Yoshida, Y.: A fuzzy approach to Markov decision processes with uncertain transition probabilities.Fuzzy Sets and Systems 157 (2006), 19, 2674-2682. MR 2328391; reference:[18] López-Díaz, M., Ralescu, D. A.: Tools for fuzzy random variables: embeddings and measurabilities.Comput. Statist. Data Anal. 51 (2006), 109-114. MR 2297590; reference:[19] Puri, M. L., Ralescu, D. A.: Fuzzy random variable.J. Math. Anal. Appl. 114 (1986), 402-422. MR 0833596; reference:[20] Puterman, M.: Markov Decision Processes: Discrete Stochastic Dynamic Programming.Wiley, 1994. Zbl 1184.90170, MR 1270015; reference:[21] Rani, D., Gulati, T. R.: A new approach to solve unbalanced transportation problems in imprecise environment.J. Transp. Secur. 7 (2014), 3, 277-287.; reference:[22] Rani, D., Gulati, T. R., Kumar, A.: A method for unbalanced transportation problems in fuzzy environment.Sadhana 39 (2014),3, 573-581. MR 3225832; reference:[23] Rezvani, S., Molani, M.: Representation of trapezoidal fuzzy numbers with shape function.Ann. Fuzzy Math. Inform. 8 (2014), 89-112. MR 3214770; reference:[24] Ross, S.: Applied Probability Models with Optimization Applications.Holden Day, 1996. MR 0264792; reference:[25] Semmouri, A., Jourhmane, M., Belhallaj, Z.: Discounted Markov decision processes with fuzzy costs.Ann. Oper. Res. 295 (2020), 769-786. MR 4181708; reference:[26] Sennott, L.: Stochastic Dynamic Programming and Control of Queueing Systems.Systems. Wiley, New York 1999. MR 1645435; reference:[27] Syropoulos, A., Grammenos, T.: A Modern Introduction to Fuzzy Mathematics.Wiley, New Jersey 2020.; reference:[28] Wang, J., Ma, X., Xu, Z., Zhan, J.: Three-way multi-attribute decision making under hesitant fuzzy environments.Inform. Sci. 552 (2021), 328-351. MR 4197247; reference:[29] Zadeh, L.: Fuzzy sets.Inform. Control 8 (1965), 338-353. Zbl 0942.00007, MR 0219427

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