A study on fuzzy plane and its application on fuzzy plane fitting

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1. Verfasser: Gupta, Diksha
Format: Preprint
Veröffentlicht: 2024
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author Gupta, Diksha
author_facet Gupta, Diksha
contents In this paper, I obtain an $S$-type fuzzy point when two fuzzy numbers for two independent variables and a corresponding fuzzy number for the dependent variable are given. A comprehensive study on a conceptualization of a fuzzy plane as a collection of fuzzy numbers, or fuzzy points is proposed. A perpendicular fuzzy distance from a fuzzy point to a fuzzy plane is also revisited. An application of the proposed fuzzy plane is made to fit a fuzzy plane to the available data sets of imprecise locations in $\mathbb{R}^3$. Moreover, a degree of fuzzily fitted fuzzy plane to the given data sets of fuzzy points is defined. All the fuzzy geometric construction and characteristics of fuzzy planes are explored with the help of same and inverse points ideas. All the study is supported by numerical examples and illustrated by fuzzy geometrical figures. This study provides a framework for developing a fuzzy plane-fitting model that will benefit the fields of curve detecting and fitting, image processing for industrial and scientific applications, signal processing, and problems of shape recognition.
format Preprint
id arxiv_https___arxiv_org_abs_2403_12157
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A study on fuzzy plane and its application on fuzzy plane fitting
Gupta, Diksha
General Mathematics
In this paper, I obtain an $S$-type fuzzy point when two fuzzy numbers for two independent variables and a corresponding fuzzy number for the dependent variable are given. A comprehensive study on a conceptualization of a fuzzy plane as a collection of fuzzy numbers, or fuzzy points is proposed. A perpendicular fuzzy distance from a fuzzy point to a fuzzy plane is also revisited. An application of the proposed fuzzy plane is made to fit a fuzzy plane to the available data sets of imprecise locations in $\mathbb{R}^3$. Moreover, a degree of fuzzily fitted fuzzy plane to the given data sets of fuzzy points is defined. All the fuzzy geometric construction and characteristics of fuzzy planes are explored with the help of same and inverse points ideas. All the study is supported by numerical examples and illustrated by fuzzy geometrical figures. This study provides a framework for developing a fuzzy plane-fitting model that will benefit the fields of curve detecting and fitting, image processing for industrial and scientific applications, signal processing, and problems of shape recognition.
title A study on fuzzy plane and its application on fuzzy plane fitting
topic General Mathematics
url https://arxiv.org/abs/2403.12157