An Elementary Proof of the General Poincaré Formula for λ-additive Measures

  • József Dombi Department of Computer Algorithms and Artificial Intelligence, University of Szeged
  • Tamás Jónás Institute of Business Economics, Eötvös Loránd University
Keywords: λ-additive measure, Poincaré formula

Abstract

In a previous paper of ours [4], we presented the general formula for lambda-additive measure of union of n sets and gave a proof of it. That proof is based on the fact that the lambda-additive measure is representable. In this study, a novel and elementary proof of the formula for lambda-additive measure of the union of n sets is presented. Here, it is also demonstrated that, using elementary techniques, the well-known Poincare formula of probability theory is just a limit case of our general formula.

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References

Chen, Xing, Huang, Yu-An, Wang, Xue-Song, You, Zhu-Hong, and Chan, Keith CC. FMLNCSIM: fuzzy measure-based lncRNA functional similarity calculation model. Oncotarget, 7(29):45948-45958, 2016. DOI: 10.18632/oncotarget.10008.

Chicescu, Ion. Why lambda-additive (fuzzy) measures? Kybernetika, 51(2):246-254, 2015. DOI: 10.14736/kyb-2015-2-0246.

Dempster, A.P. Upper and lower probabilities induced by a multivalued mapping. Annals of Mathematical Statistics, 38:325-339, 1967. DOI: 10.1214/aoms/1177698950.

Dombi, József and Jónás, Tamás. The general Poincaré formula for lambda-additive measures. Information Sciences, 490:285-291, 2019. DOI: 10.1016/j.ins.2019.03.059.

Dubois, Didier and Prade, Henri. Fuzzy Sets and Systems: Theory and Applications, volume 144 of Mathematics In Science And Engineering, chapter 5, pages 125-147. Academic Press, Inc., Orlando, FL, USA, 1980.

Dubois, Didier and Prade, Henri. Rough fuzzy sets and fuzzy rough sets. International Journal of General Systems, 17(2-3):191-209, 1990. DOI: 10.1080/03081079008935107.

Feng, Tao, Mi, Ju-Sheng, and Zhang, Shao-Pu. Belief functions on general intuitionistic fuzzy information systems. Information Sciences, 271:143-158, 2014. DOI: 10.1016/j.ins.2014.02.120.

Grabisch, Michel. Set Functions, Games and Capacities in Decision Making. Springer Publishing Company, Incorporated, DOI: 10.1007/978-3-319-30690-2_2, 1st edition, 2016.

Höhle, Ulrich. A general theory of fuzzy plausibility measures. Journal of Mathematical Analysis and Applications, 127(2):346-364, 1987. DOI: 10.1016/0022-247X(87)90114-4.

Jin, LeSheng, Mesiar, Radko, and Yager, Ronald R. Melting probability measure with owa operator to generate fuzzy measure: the crescent method. IEEE Transactions on Fuzzy Systems, 27(6):1309-1316, 2018. DOI: 10.1109/tfuzz.2018.2877605.

Magadum, C.G. and Bapat, M.S. Ranking of students for admission process by using Choquet integral. International Journal of Fuzzy Mathematical Archive, 15(2):105-113, 2018.

Mohamed, M.A. and Xiao, Weimin. Q-measures: an efficient extension of the Sugeno lambda-measure. IEEE Transactions on Fuzzy Systems, 11(3):419-426, 2003. DOI: 10.1109/tfuzz.2003.812701.

Pap, Endre. Null-additive set functions, volume 337. Kluwer Academic Pub, 1995.

Pap, Endre. Pseudo-additive measures and their applications. In Handbook of measure theory, pages 1403-1468. Elsevier, 2002, DOI: 10.1016/b978-044450263-6/50036-1.

Polkowski, Lech. Rough sets in knowledge discovery 2: applications, case studies and software systems, volume 19. Physica, 2013.

Shafer, Glenn. A mathematical theory of evidence, volume 42. Princeton University Press, 1976.

Singh, Akhilesh Kumar. Signed lambda-measures on effect algebras. In Proceedings of the National Academy of Sciences, India Section A: Physical Sciences, pages 1-7. Springer India, Jul 2018, DOI: 10.1007/s40010-018-0510-x.

Skowron, Andrzej. The relationship between the rough set theory and evidence theory. Bulletin of Polish academy of science: Mathematics, 37:87-90, 1989.

Skowron, Andrzej. The rough sets theory and evidence theory. Fundam. Inf., 13(3):245-262, October 1990.

Spohn, Wolfgang. The Laws of Belief: Ranking Theory and its Philosophical Applications. Oxford University Press, DOI: 10.1093/acprof:oso/9780199697502.001.0001, 2012.

Sugeno, M. Theory of fuzzy integrals and its applications. PhD thesis, Tokyo Institute of Technology, Tokyo, Japan, 1974.

Wang, Zhenyuan and Klir, George J. Generalized Measure Theory. IFSR International Series in Systems Science and Systems Engineering. Springer US, 2010.

Wu, Wei-Zhi, Leung, Yee, and Zhang, Wen-Xiu. Connections between rough set theory and Dempster-Shafer theory of evidence. International Journal of General Systems, 31(4):405-430, 2002. DOI: 10.1080/0308107021000013626.

Yao, Y.Y. and Lingras, P.J. Interpretations of belief functions in the theory of rough sets. Information Sciences, 104(1):81-106, 1998. DOI: 10.1016/S0020-0255(97)00076-5.

Published
2019-11-03
How to Cite
Dombi, J., & Jónás, T. (2019). An Elementary Proof of the General Poincaré Formula for λ-additive Measures. Acta Cybernetica, 24(2), 173-185. https://doi.org/10.14232/actacyb.24.2.2019.1
Section
Regular articles