Interval-valued neutrosophic hypothesis testing


Haktanir E.

JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, vol.38, no.1, pp.1107-1117, 2020 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 38 Issue: 1
  • Publication Date: 2020
  • Doi Number: 10.3233/jifs-179472
  • Title of Journal : JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
  • Page Numbers: pp.1107-1117

Abstract

Hypothesis testing is an important tool of statistical decision making. Classical hypothesis testing is based on a known probability distribution with known population parameters. However, since the data generally include vagueness and impreciseness, a fuzzy set approach should be used. In this paper, interval-valued neutrosophic sets (IVNSs) are used for the purpose of making statistical decisions. In the proposed neutrosophic hypothesis testing approach, neutrosophic linguistic data and neutrosophic parameters are used. Left-sided, right-sided and double-sided neutrosophic hypothesis tests are developed, illustrative example and sensitivity analysis are given.