dc.date.accessioned | 8/30/2019 10:20 | |
dc.date.accessioned | 2022-09-23T14:58:11Z | |
dc.date.available | 8/30/2019 10:20 | |
dc.date.available | 2022-09-23T14:58:11Z | |
dc.date.created | 8/30/2019 10:20 | |
dc.date.issued | 2010 | |
dc.identifier | https://link.springer.com/chapter/10.1007/978-3-642-14922-1_15 | |
dc.identifier | http://hdl.handle.net/10818/36965 | |
dc.identifier | 10.1007/978-3-642-14922-1_15 | |
dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/3485438 | |
dc.description.abstract | This paper presents a method to transform Fuzzy Markov chains into Crisp Markov chains by means of an equivalence matrix derived from the concept of Scalar cardinality of a fuzzy set. This proposal is a linear transformation of the fuzzy space into a probability space.
In this paper, a finite-state Fuzzy Markov Chain is transformed into a crisp Markov chain by a linear operator. It is a projection of the fuzzy space into a probability space which allows to compare them one another. | |
dc.language | eng | |
dc.publisher | International Conference on Intelligent Computing | |
dc.relation | Advanced Intelligent Computing Theories and Applications pp 110-117 | |
dc.rights | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.rights | openAccess | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | |
dc.source | Universidad de La Sabana | |
dc.source | Intellectum Repositorio Universidad de La Sabana | |
dc.subject | Markov Chain | |
dc.subject | Stationary Distribution | |
dc.subject | Fuzzy Relation | |
dc.subject | Stationary Transition Matrix Fuzzy Random Variable | |
dc.title | Scalarization of Type-1 Fuzzy Markov Chains | |
dc.type | journal article | |