2020
DOI: 10.9734/psij/2020/v24i730201
|View full text |Cite
|
Sign up to set email alerts
|

Information Content of the Model for Calculating the Finite Precision of Measurements

Abstract: Aims: We argue that the choice of a specific qualitative–quantitative set of variables in a model by a conscious observer fundamentally limits the achievable accuracy of the measurement process. Place and Duration of Study: Mechanical & Refrigeration Consultation Expert, between January 2020 and July 2020. Methodology: Using the concept of “finite information quantities” introduced by Gisin, we try to present it as a practical tool in science and engineering in calculating the proximity indicat… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
4
1

Relationship

2
3

Authors

Journals

citations
Cited by 5 publications
(2 citation statements)
references
References 46 publications
0
2
0
Order By: Relevance
“…The study argues that this information can play a critical role in assessing the attainable accuracy of representing a modeled phenomenon. The method also addresses the concept of comparative uncertainty, which is a fundamental aspect for evaluating the accuracy limit of a model [1].…”
Section: Introductionmentioning
confidence: 99%
“…The study argues that this information can play a critical role in assessing the attainable accuracy of representing a modeled phenomenon. The method also addresses the concept of comparative uncertainty, which is a fundamental aspect for evaluating the accuracy limit of a model [1].…”
Section: Introductionmentioning
confidence: 99%
“…The purpose of this research article is to provide a theoretically substantiated application of the phenomenon of random choice of a variable observed when formulating a model of any physical process. The article is based on the use of the basic element-the finite information quantity (FIQ) [2]-and the implementation of the information method described in [3,4]. Examples are introduced.…”
Section: Introductionmentioning
confidence: 99%