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Fuzzy Logic In Legal Education

Year 2011, Volume: 12 Issue: 2, 60 - 69, 01.06.2011

Abstract

The necessity of examination of every case within its peculiar conditions in social sciences requires different approaches complying with the spirit and nature of social sciences. Multiple realities require different and various perceptual interpretations. In modern world and social sciences, interpretation of perception of valued and multi-valued have been started to be understood by the principles of fuzziness and fuzzy logic. Having the verbally expressible degrees of truthness such as true, very true, rather true, etc. fuzzy logic provides the opportunity for the interpretation of especially complex and rather vague set of information by flexibility or equivalence of the variables’ of fuzzy limitations. The methods and principles of fuzzy logic can be benefited in examination of the methodological problems of law, especially in the applications of filling the legal loopholes arising from the ambiguities and interpretation problems in order to understand the legal rules in a more comprehensible and applicable way and the efficiency of legal implications. On the other hand, fuzzy logic can be used as a technical legal method in legal education and especially in legal case studies and legal practice applications in order to provide the perception of law as a value and the more comprehensive and more quality perception and interpretation of value of justice, which is the core value of law. In the perception of what happened as it has happened in legal relationships and formations, the understanding of social reality and sociological legal rules with multi valued sense perspective and the their applications in accordance with the fuzzy logic’s methods could create more equivalent and just results. It can be useful for the young lawyers and law students as a facilitating legal method especially in the materialization of the perception and interpretation of multi valued and variables. Using methods and principles of fuzzy logic in legal education, more quality and just legal interpretations can be achieved by synchronously dealing with non-contradicting different perspectives of legal realities.

References

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Year 2011, Volume: 12 Issue: 2, 60 - 69, 01.06.2011

Abstract

References

  • Aral, V. (2003). Hukuku Bilim Yapan Nedir? [What Makes Law a Science], HFSA 6, Istanbul, 19–20, Turkey.
  • Aral, V. (2001). Hukuk ve Hukuk Bilimi Üzerine [About Law and Legal Science], Istanbul , 44-45, Turkey.
  • Güriz, A. (2003a). Hukuk Başlangıcı [Introduction to Law ], Ankara,36, Turkey.
  • Güriz, A. (2003b). Hukuk Felsefesi [Legal Philosophy], Ankara, 380, Turkey.
  • Keyman, S. (2003). Hukuk Felsefesinin Konusu [Subject of Legal Philosophy], HFSA 6, Istanbul, 6, Turkey.
  • Korner, S. (1967). Laws of thought. In: Encyclopedia of Philosophy, Vol. 4. MacMillan, New York, 414-417, USA.
  • McBratney, A. B., & Odeh, I. O. A. (1997). Application of fuzzy sets in soil science:
  • Fuzzy logic, fuzzy measurements and fuzzy decisions. Geoderma 77: 85- 113. Okçesiz, H. (2006). Hukuk ve Bilimi [Law and Legal Science], HFSA 15, Istanbul 2006, , Turkey.
  • Oktem, N. (2005). Hukukun Bilimselliği [Scientific of Law], HFSA 11, Istanbul, 33, Turkey.
  • Oktem, N. (1985). Hukuk Felsefesi ve Hukuk Sosyolojisi [Legal Philosophy and Legal
  • Sociology], Istanbul, 15, Turkey. Timucin, A. (2003). Estetik [Aesthetics], Istanbul, 36, Turkey.
  • Isıktac, Y. (2006). Hukuk Felsefesi [Legal Philosophy], Istanbul , 6.
  • Fay, B. (1996). Cağdaş Sosyal Bilimler Felsefesi [Philosophy of Modern Social
  • Sciences], Istanbul, 273-275, Turkey. Zadeh, L. A. (2004). A note on web intelligence, world knowledge and fuzzy logic.
  • Data & Know ledge Engineering. 50: 291-304. Alatlı, A. (2001). “Ikinci Aydınlanma Çağında Yeni Hukuk Anlayışı [New Legal
  • Concept in the Second Enlightment Era]”, 4th December 2001, http://www.onarimcilar.net/j/index.php?option=com_content&task=view&id=50&I temid=8 retrieved on 26. 06.2010.
  • Lisalux, (2007). Artificial Intelligence and the Chaos Theory, http://www.echeat.com/essay.php?t=32283 retrieved on 26. 06.2010.
  • MacGill, V.(n.d.).”A non-technical introduction to the new science of Chaos and Complexity “, http://complexity.orconhosting.net.nz/fuzzy.html retrieved on 25. 2010.
  • Yakupoglu & et.al. (2010). “Toprak Erozyonu Çalışmalarında Bulanık Mantık
  • Uygulamaları [Fuzzy Logic Applications in Soil Erosion Researches]“, http://www.petrdostal.eu/papers.html retrieved on 26. 06.2010.
There are 20 citations in total.

Details

Primary Language English
Journal Section Articles
Authors

Z. Gonul Balkır This is me

Umit Alnıacık This is me

Eylem Apaydın

Publication Date June 1, 2011
Submission Date February 27, 2015
Published in Issue Year 2011 Volume: 12 Issue: 2

Cite

APA Balkır, Z. G., Alnıacık, U., & Apaydın, E. (2011). Fuzzy Logic In Legal Education. Turkish Online Journal of Distance Education, 12(2), 60-69.