Neutrosohic Fuzzy Magdm Environment Based on Normal Distribution


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Authors

  • A. Solairaju PG and Research Department of Mathematics, Jamal Mohamed College (Autonomous), Tiruchirappalli, Tamilnadu, India
  • M. Shajahan PG and Research Department of Mathematics, Jamal Mohamed College (Autonomous), Tiruchirappalli, Tamilnadu, India

Keywords:

Ordered weighted averaging, Hybrid averaging operator, normal based weights

Abstract

The attribute weights calculated from completely unknown information using the normal distribution. The neutrosophic fuzzy ordered weighted averaging operator is utilized to aggregate all individual neutrosophic fuzzy decision matrices provided by the decision-makers into the collective neutrosophic fuzzy decision matrix, and then we use the obtained attribute weights from Poisson distribution and the neutrosophic fuzzy hybrid averaging operator to fuse the neutrosophic fuzzy information in the collective neutrosophic fuzzy decision matrix to get the overall neutrosophic fuzzy values of alternatives, and then rank the alternatives, and select the most desirable alternative.

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Published

15-03-2018

How to Cite

A. Solairaju, & M. Shajahan. (2018). Neutrosohic Fuzzy Magdm Environment Based on Normal Distribution. International Journal of Mathematics And Its Applications, 6(1 - E), 1181–1187. Retrieved from http://ijmaa.in/index.php/ijmaa/article/view/1220

Issue

Vol. 6 No. 1 - E (2018)

Section

Research Article

License

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