Multiple Axiomatics Method and the Fuzzy Logic

Constantinos  Challoumis

doi:10.47494/mesb.v37i.1814

(1) Constantinos Challoumis National and Kapodistrian University of Athens, University in Zografou, Greece
Greece
(*) Corresponding Author

DOI:

https://doi.org/10.47494/mesb.v37i.1814

Keywords:

multiple axiomatics, fuzzy logic

Abstract

This paper is about the classic methods which are used in the analysis of economics. Therefore in this work are submitted the most common methodological approaches, which are used in economics. Thence, the terminology of axiomatic methods is scrutinized extendedly in this paper. Hence, the multiple axiomatics method is an improved model of the classic form of the Axiomatics Method. This means that the multiple axiomatics method uses repetitions to its structure to succeed to have more accurate hypotheses and finally better results. The fuzzy logic shows that behavioral economics and neo-classical economics are plausible to have simultaneously the rationality of neo-classical models and the imperfection of behavioral economics in a full agreement between assumption and results. The generator has a key role in the development and application of fuzzy logic to the models.

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References

Beer, C. (1995) ‘ Fuzzy Thinking: The New Science of Fuzzy Logic. Bart Kosko ’, The Quarterly Review of Biology, 70(2). Available at: https://doi.org/10.1086/418985.

Boland, L.A. (2014) The methodology of economic model building: Methodology after samuelson, The Methodology of Economic Model Building: Methodology after Samuelson. Available at: https://doi.org/10.4324/9781315773285.

Challoumis, C. (2018a) Methods of Controlled Transactions and the Behavior of Companies According to the Public and Tax Policy, Economics. Available at: https://doi.org/10.2478/eoik-2018-0003.

Challoumis, C. (2018b) ‘Multiple Axiomatics Method Through the Q.E. Methodology’, SSRN Electronic Journal, pp. 1–9. Available at: https://doi.org/10.2139/ssrn.3223642.

Challoumis, C. (2018c) ‘Q.E. (Quantification of Everything ) Method and Econometric Analysis’, SSRN Electronic Journal [Preprint]. Available at: https://doi.org/10.2139/ssrn.3150101.

Challoumis, C. (2019a) ‘The R.B.Q. (Rational, Behavioral and Quantified) Model’, Ekonomika, 98(1). Available at: https://doi.org/10.15388/ekon.2019.1.1.

Challoumis, C. (2019b) ‘Theoretical analysis of fuzzy logic and Q. E. method in econo¬mics’, IKBFU’s Vestnik, 2019(01), pp. 59–68. Available at: https://doi.org/330.42.

Challoumis, C. (2020) ‘The Impact Factor of Education on the Public Sector – The Case of the U.S.’, International Journal of Business and Economic Sciences Applied Research, 13(1), pp. 69–78. Available at: https://doi.org/10.25103/ijbesar.131.07.

Challoumis, C. (2021) ‘Index of the Cycle of Money - The Case of Latvia’, Economics and Culture, 17(2), pp. 5–12. Available at: https://doi.org/10.2478/jec-2020-0015.

Lal, A. et al. (2018) ‘Inclusion of equity in economic analyses of public health policies: systematic review and future directions’, Australian and New Zealand Journal of Public Health. Available at: https://doi.org/10.1111/1753-6405.12709.

Miljand, M. (2020) ‘Using systematic review methods to evaluate environmental public policy: methodological challenges and potential usefulness’, Environmental Science and Policy, 105. Available at: https://doi.org/10.1016/j.envsci.2019.12.008.

Ruiz, J.C. et al. (2017) ‘Measuring the social and economic impact of public policies on entrepreneurship in Andalusia’, CIRIEC-Espana Revista de Economia Publica, Social y Cooperativa, 1(90).