Application of the method of quantifier elimination to Ben-Haim's info-gap decision theory (IGDT) under the presence of both horizon-of-uncertainty-related and ordinary interval uncertain variables

Problems under uncertainty conditions appear frequently in practice. The use of classical interval analysis constitutes an interesting tool for the study of such problems with the uncertain variables assumed to be interval variables. Ben-Haim's info-gap (or information-gap) decision theory (IGD...

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Κύριος συγγραφέας: Ioakimidis, Nikolaos
Άλλοι συγγραφείς: Ιωακειμίδης, Νικόλαος
Μορφή: Technical Report
Γλώσσα:English
Έκδοση: 2023
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Διαθέσιμο Online:https://hdl.handle.net/10889/25059
id nemertes-10889-25059
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spelling nemertes-10889-250592023-06-14T03:58:48Z Application of the method of quantifier elimination to Ben-Haim's info-gap decision theory (IGDT) under the presence of both horizon-of-uncertainty-related and ordinary interval uncertain variables Εφαρμογή της μεθόδου της απαλοιφής ποσοδεικτών στη θεωρία αποφάσεων info-gap (IGDT) του Ben-Haim υπό την παρουσία τόσο αβέβαιων μεταβλητών που σχετίζονται με ορίζοντα αβεβαιότητας όσο και συνηθισμένων αβέβαιων μεταβλητών διαστήματος Ioakimidis, Nikolaos Ιωακειμίδης, Νικόλαος Uncertainty Info-gap Information-gap Ben-Haim's IGDT Fractional-error model Interval variables Uncertainty parameter Horizon of uncertainty Rectangle Rectangular cuboid Areas Volumes Columns Buckling loads Springs Equivalent spring constants Resistors Equivalent resistances Quantified formulae Quantifier elimination Quantifier-free formulae Problems under uncertainty conditions appear frequently in practice. The use of classical interval analysis constitutes an interesting tool for the study of such problems with the uncertain variables assumed to be interval variables. Ben-Haim's info-gap (or information-gap) decision theory (IGDT) constitutes an interesting method for the study of such problems. The determination of the maximum value of the uncertainty parameter (or horizon of uncertainty) for the uncertain variables so that the performance requirement(s) is (are) satisfied is of primary importance in the IGDT. On the other hand, the method of quantifier elimination in computer algebra permits the transformation of quantified formulae to equivalent formulae, but free from the quantified variables. Here the method of quantifier elimination is applied to the mixed case with two or three uncertain variables where one (or two) of these variables is (are) ordinary interval variable(s) whereas the remaining uncertain variable(s) satisfies (satisfy) the popular fractional-error model of uncertainty in the IGDT. Therefore, here the horizon of uncertainty concerns only the latter variable(s). The present method is illustrated in the following five simple applications: (i) the problem of the area of a rectangle, (ii) the problem of the volume of a rectangular cuboid, (iii) the problem of the buckling load of a fixed–free column, (iv) the problem of the equivalent spring constants of two elastic springs connected in series and in parallel and (v) the similar problem for the resistances of three resistors. 2023-06-13T05:38:38Z 2023-06-13T05:38:38Z 2023-06-13 Technical Report https://hdl.handle.net/10889/25059 en application/pdf
institution UPatras
collection Nemertes
language English
topic Uncertainty
Info-gap
Information-gap
Ben-Haim's IGDT
Fractional-error model
Interval variables
Uncertainty parameter
Horizon of uncertainty
Rectangle
Rectangular cuboid
Areas
Volumes
Columns
Buckling loads
Springs
Equivalent spring constants
Resistors
Equivalent resistances
Quantified formulae
Quantifier elimination
Quantifier-free formulae
spellingShingle Uncertainty
Info-gap
Information-gap
Ben-Haim's IGDT
Fractional-error model
Interval variables
Uncertainty parameter
Horizon of uncertainty
Rectangle
Rectangular cuboid
Areas
Volumes
Columns
Buckling loads
Springs
Equivalent spring constants
Resistors
Equivalent resistances
Quantified formulae
Quantifier elimination
Quantifier-free formulae
Ioakimidis, Nikolaos
Application of the method of quantifier elimination to Ben-Haim's info-gap decision theory (IGDT) under the presence of both horizon-of-uncertainty-related and ordinary interval uncertain variables
description Problems under uncertainty conditions appear frequently in practice. The use of classical interval analysis constitutes an interesting tool for the study of such problems with the uncertain variables assumed to be interval variables. Ben-Haim's info-gap (or information-gap) decision theory (IGDT) constitutes an interesting method for the study of such problems. The determination of the maximum value of the uncertainty parameter (or horizon of uncertainty) for the uncertain variables so that the performance requirement(s) is (are) satisfied is of primary importance in the IGDT. On the other hand, the method of quantifier elimination in computer algebra permits the transformation of quantified formulae to equivalent formulae, but free from the quantified variables. Here the method of quantifier elimination is applied to the mixed case with two or three uncertain variables where one (or two) of these variables is (are) ordinary interval variable(s) whereas the remaining uncertain variable(s) satisfies (satisfy) the popular fractional-error model of uncertainty in the IGDT. Therefore, here the horizon of uncertainty concerns only the latter variable(s). The present method is illustrated in the following five simple applications: (i) the problem of the area of a rectangle, (ii) the problem of the volume of a rectangular cuboid, (iii) the problem of the buckling load of a fixed–free column, (iv) the problem of the equivalent spring constants of two elastic springs connected in series and in parallel and (v) the similar problem for the resistances of three resistors.
author2 Ιωακειμίδης, Νικόλαος
author_facet Ιωακειμίδης, Νικόλαος
Ioakimidis, Nikolaos
format Technical Report
author Ioakimidis, Nikolaos
author_sort Ioakimidis, Nikolaos
title Application of the method of quantifier elimination to Ben-Haim's info-gap decision theory (IGDT) under the presence of both horizon-of-uncertainty-related and ordinary interval uncertain variables
title_short Application of the method of quantifier elimination to Ben-Haim's info-gap decision theory (IGDT) under the presence of both horizon-of-uncertainty-related and ordinary interval uncertain variables
title_full Application of the method of quantifier elimination to Ben-Haim's info-gap decision theory (IGDT) under the presence of both horizon-of-uncertainty-related and ordinary interval uncertain variables
title_fullStr Application of the method of quantifier elimination to Ben-Haim's info-gap decision theory (IGDT) under the presence of both horizon-of-uncertainty-related and ordinary interval uncertain variables
title_full_unstemmed Application of the method of quantifier elimination to Ben-Haim's info-gap decision theory (IGDT) under the presence of both horizon-of-uncertainty-related and ordinary interval uncertain variables
title_sort application of the method of quantifier elimination to ben-haim's info-gap decision theory (igdt) under the presence of both horizon-of-uncertainty-related and ordinary interval uncertain variables
publishDate 2023
url https://hdl.handle.net/10889/25059
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