Reduction of Conditional Factors in Causal Analysis
Keywords:
Factors space, Causal analysis, Reduction of factorsAbstract
Faced with a great number of conditional factors in big data causal analysis, the reduction algorithm put forward in this paper can reasonably reduce the number of conditional factors. Compared with the previous reduction methods, we take into consideration the influence of conditional factors on resulted factors, as well as the relationship among conditional factors themselves. The basic idea of the algorithm proposed in this paper is to establish the matrix of mutual deterministic degrees in between conditional factors. If a conditional factor f has a greater deterministic degree with respect to another conditional factor h, we will delete the factor h unless factor h has a greater deterministic degree with respect to f, then delete factor f in this case. With this reduction, we can ensure that the conditional factors participating in causal analysis are as irrelevant as possible. This is a reasonable requirement for causal analysis.References
Bao, Y. K.; Ru, H.Y.; Jin, S.J.(2014); A new algorithm of knowledge mining in factor space, Journal of Liaoning Technical University (Natural Science), 33(8), 1141-1144, 2014.
Cheng, Q.F.; Wang, T.T.; Guo S.C.; Zhang, D. Y.; Jing K.; Feng, L.; Wang P.Z. (2017); The Logistic Regression from the Viewpoint of the Factor Space Theory, International Journal of Computers Communications & Control, 12(4), 492-502, 2017. https://doi.org/10.15837/ijccc.2017.4.2918
Dzitac I. (2015), The Fuzzification of Classical Structures: A General View, International Journal of Computers Communications & Control, 10(6), 772-788, 2015. https://doi.org/10.15837/ijccc.2015.6.2069
Dzitac, I.; Filip, F.G.; Manolescu, M.J. (2017), Fuzzy Logic Is Not Fuzzy: World-renowned Computer Scientist Lotfi A. Zadeh, International Journal of Computers Communications & Control, 12(6), 748-789, 2017. https://doi.org/10.15837/ijccc.2017.6.3111
Furnkranz, J.; Hullermeier, E.; Mencia, E.L.; Brinker, K.(2008); Multilabel classification via calibrated label ranking, Machine Learning, 73(2), 133-153, 2008. https://doi.org/10.1007/s10994-008-5064-8
Ganter, B.; Wille, R. (1996); Formal concept analysis, Wissenschaftliche Zeitschrift- Technischen Universitat Dresden, 45, 8-13, 1999.
Kandel, A.; Peng, X.T.; Cao, Z.Q.; Wang P.Z. (1990); Representation of concepts by factor spaces, Cybernetics and Systems: An International Journal, 21(1), 43-57, 1990. https://doi.org/10.1080/01969729008902223
Li, H.X.; Wang, P.Z.; Yen, V.C. (1998); Factor spaces theory and its applications to fuzzy information processing.(I). The basics of factor spaces, Fuzzy Sets and Systems, 95(2), 147- 160, 1998. https://doi.org/10.1016/S0165-0114(96)00296-5
Li, H.X., Yen, V.C.; Lee, E.S. (2000); Factor space theory in fuzzy information processing- Composition of states of factors and multifactorial decision making, Computers & Mathematics with Applications, 39(1), 245-265, 2000.
Li, H.X.; Yen, V.C.; Lee, E.S. (2000); Models of neurons based on factor space, Computers & Mathematics with Applications, 39(12), 91-100, 2000. https://doi.org/10.1016/S0898-1221(00)00132-2
Li, H. X.; Chen, C.P.; Yen, V.C., Lee, E.S. (2000); Factor spaces theory and its applications to fuzzy information processing: Two kinds of factor space canes, Computers & Mathematics with Applications, 40(6-7), 835-843, 2000. https://doi.org/10.1016/S0898-1221(00)00200-5
Li, H.X.; Chen, C.P., Lee, E.S. (2000); Factor space theory and fuzzy information processing- Fuzzy decision making based on the concepts of feedback extension, Computers & Mathematics with Applications, 40(6-7), 845-864, 2000. https://doi.org/10.1016/S0898-1221(00)00201-7
Liu, H.T.; Guo, S.C. (2015); Inference model of causality analysis, Journal of Liaoning Technical University(Natural Science), 34(1), 124-128, 2015.
Liu, H.T.; Dzitac, I.; Guo, S.C. (2018); Reduction of conditional factors in causal analysis, International Journal of Computers Communications & Control, 13(1), 83-98, 2018.
Qu, W.H.; Liu, H.T.; Guo, S.Z.(2017); Multi-target causality analysis in factor space, Fuzzy Systems & Mathematics, 31(6), 74-81, 2017.
Vesselenyi, T.; Dzitac, I.; Dzitac, S.; Vaida, V. (2008); Surface roughness image analysis using quasi-fractal characteristics and fuzzy clustering methods, International Journal of Computers Communications & Control, 3(3), 304-316, 2008. https://doi.org/10.15837/ijccc.2008.3.2398
Wang, H.D.; Wang, P.Z.; Shi, Y.; Liu, H.T. (2014); Improved factorial analysis algorithm in factor spaces, International Conference on Informatics, 201-204, 2014.
Wang, P.Z.; Sugeno, M. (1982); The factor fields and background structure for fuzzy subsets, Fuzzy Mathematics, 2(2), 45-54, 1982.
Wang, P.Z. (1990); A factor spaces approach to knowledge representation, Fuzzy Sets and Systems, 36(1), 113-124, 1990. https://doi.org/10.1016/0165-0114(90)90085-K
Wang, P.Z.; Zhang, X.H.; Lui, H.C.; Zhang, H.M.; Xu, W. (1995); Mathematical theory of truth-valued flow inference, Fuzzy Sets and Systems, 72(2), 221-238, 1995. https://doi.org/10.1016/0165-0114(94)00354-A
Wang, P.Z.; Jiang, A. (2002); Rules detecting and rules-data mutual enhancement based on factors space theory, International Journal of Information Technology & Decision Making, 1(01), 73-90, 2002. https://doi.org/10.1142/S0219622002000087
Wang, P.Z.; Guo, S.C.; Bao, Y.K.; Liu, H.T. (2014); Causality analysis in factor spaces, Journal of Liaoning Technical University (Natural Science), 33(7), 1-6, 2015.
Yuan, X.H.; Wang, P.Z.; Lee, E.S. (1992); Factor space and its algebraic representation theory, J Math Anal Appl., 171(1), 256-276, 1992. https://doi.org/10.1016/0022-247X(92)90388-T
Yuan, X.H.; Wang, P.Z.; Lee, E.S. (1994); Factor Rattans, Category FR (Y), and Factor Space, Journal of Mathematical Analysis and Applications, 186(1), 254-264, 1994. https://doi.org/10.1006/jmaa.1994.1297
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