Author:
Figueroa-García Juan Carlos
Publisher
Springer International Publishing
Reference19 articles.
1. Araiza, R., Xiang, G., Kosheleva, O., Skülj, D.: Under interval and fuzzy uncertainty, symmetric Markov chains are more difficult to predict. In: 2007 Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS), vol. 26, pp. 526–531. IEEE (2007)
2. Avrachenkov, K.E., Sanchez, E.: Fuzzy Markov chains: specificities and properties. In: IEEE (ed.) 8th IPMU’2000 Conference, Madrid, Spain, pp. 1851–1856. IEEE (2000)
3. Avrachenkov, K.E., Sanchez, E.: Fuzzy Markov chains and decision-making. Fuzzy Optim. Decis. Mak. 1(2), 143–159 (2002)
4. Campos, M.A., Dimuro, G.P., da Rocha Costa, A.C., Kreinovich, V.: Computing 2-step predictions for interval-valued finite stationary Markov chains. Tech. rep., UTEP-CS-03-20 (2003)
5. Figueroa-García, J.C.: Interval type-2 fuzzy Markov chains: an approach. In: 2007 Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS), vol. 28, No. 1, pp. 1–6 (2010)