
A Statistical Analysis of Fuzzy Balanced Incomplete Block Designs with Intra-Block Analysis using Trapezoidal Method
Author(s) -
K. Mythili Gnanapriya,
S. Kavitha,
M. Pachamuthu
Publication year - 2020
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.f7903.038620
Subject(s) - block (permutation group theory) , economic shortage , fuzzy logic , mathematics , statistics , statistical analysis , computer science , block design , artificial intelligence , linguistics , philosophy , geometry , combinatorics , government (linguistics)
The Balanced Incomplete Block Designs (BIBD) plays a major role in the design of experiments, particularly in agricultural experiments. In an intra-block analysis of BIBD, the practical situations are not measurable the exact observations due to a shortage of experimental apparatus or facilities and the physical size of the block. In such circumstances, the analyses of fuzzy observations are used. In this research work, a statistical analysis of BIBD with intra-block analysis through cut interval method of trapezoidal fuzzy observations is taken for study. A numerical example is provided by the primary data to show the preciseness of the yield of cotton crop seeds.