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Reliability Analysis of Systems Using Trapezoidal Fuzzy Neutrosophic Sets

  • Journal of Knowledge Information Technology and Systems
  • Abbr : JKITS
  • 2016, 11(3), pp.293-299
  • Publisher : Korea Knowledge Information Technology Society
  • Research Area : Interdisciplinary Studies > Interdisciplinary Research
  • Published : June 30, 2016

Cho, Sang Yeop 1

1청운대학교

Accredited

ABSTRACT

One of the most important thing in developing new systems makes the model of reliability for the systems. In real world it is difficult to evaluate the correct probabilities because of incorrect and uncertain data produced by human. To solve the these problems the fuzzy theory is applied to analysis of system reliability. In fuzzy sets, interval valued fuzzy sets, and intuitionistic fuzzy sets, the membership degrees are represented by single real value, interval value, and truth membership value and falsity membership value respectively. But these fuzzy set theories have demerit that there are no way to evaluate the indeterminacy for components of systems. The neutrosophic sets can provide the method to deal with the indeterminacy. In this research we propose the way to evaluate the reliability of systems based on trapezoidal fuzzy neutrosophic sets. The trapezoidal fuzzy neutrosophic sets has the indeterminacy membership function which can process the indeterminacy of systems. In the trapezoidal fuzzy neutrosophic sets, the membership degrees are represented by the trapezoidal shape and then they has efficiency to calculate the membership degrees and generality to include the representation of the triangle fuzzy neutrosohpic sets. The proposed method may use to compute the reliability of systems in various application domains.

Citation status

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