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Fuzzy Statistical Decision-Making Read chapter Read first chapter

2016 | OriginalPaper | Chapter

A Practical Application of Fuzzy Analysis of Variance in Agriculture

Authors : R. Ivani, S. H. Sanaei Nejad, B. Ghahraman, A. R. Astaraei, H. Feizi

Published in: Fuzzy Statistical Decision-Making

Publisher: Springer International Publishing

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Abstract

For comparing several populations, the fuzzy analysis of variance has been summarized and reviewed where the collected data considered fuzzy rather than crisp numbers. As a practical work based on the real-word data, a case study was carried out to investigate effects of three concentrations (0, 50 and 100 ppm) nanoSiO2 on seedling growth and dry matter weight of fenugreek (Trigonella foenum-graceum L.). All presented data in this study are fuzzy and therefore we need an extended version of analysis of variance to investigate on these fuzzy observations. Although, the presented analysis of variance approach based on vague data can causes to a fuzzy decision, but as an advantage of the proposed approach the vagueness of this fuzzy decision measured.

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previous chapter Linear Hypothesis Testing Based on Unbiased Fuzzy Estimators and Fuzzy Significance Level
next chapter A Survey of Fuzzy Data Mining Techniques
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Metadata
Title
A Practical Application of Fuzzy Analysis of Variance in Agriculture
Authors
R. Ivani
S. H. Sanaei Nejad
B. Ghahraman
A. R. Astaraei
H. Feizi
Copyright Year
2016
Book
Fuzzy Statistical Decision-Making

Print ISBN: 978-3-319-39012-3

Electronic ISBN: 978-3-319-39014-7

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-39014-7_17

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