Implementing fuzzy polynomial interpolation (FPI) and fuzzy linear regression (LFR)

<p>This paper presents some preliminary results arising within a general framework concerning the development of software tools for fuzzy arithmetic. The program is in a preliminary stage. What has been already implemented consists of a set of routines for elementary operations, optimized func...

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Main Authors: Maria Cristina Floreno, Giovanni Novelli
Format: Article
Language:English
Published: Università degli Studi di Catania 1996-05-01
Series:Le Matematiche
Subjects:
Online Access:http://www.dmi.unict.it/ojs/index.php/lematematiche/article/view/426
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author Maria Cristina Floreno
Giovanni Novelli
author_facet Maria Cristina Floreno
Giovanni Novelli
author_sort Maria Cristina Floreno
collection DOAJ
description <p>This paper presents some preliminary results arising within a general framework concerning the development of software tools for fuzzy arithmetic. The program is in a preliminary stage. What has been already implemented consists of a set of routines for elementary operations, optimized functions evaluation, interpolation and regression. Some of these have been applied to real problems.</p><p><br />This paper describes a prototype of a library in C++ for polynomial interpolation of fuzzifying functions, a set of routines in FORTRAN for fuzzy linear regression and a program with graphical user interface allowing the use of such routines.</p>
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spelling doaj.art-29f7934b7aca489a8f53c56c3ebe2ccd2022-12-21T18:49:18ZengUniversità degli Studi di CataniaLe Matematiche0373-35052037-52981996-05-015115976398Implementing fuzzy polynomial interpolation (FPI) and fuzzy linear regression (LFR)Maria Cristina FlorenoGiovanni Novelli<p>This paper presents some preliminary results arising within a general framework concerning the development of software tools for fuzzy arithmetic. The program is in a preliminary stage. What has been already implemented consists of a set of routines for elementary operations, optimized functions evaluation, interpolation and regression. Some of these have been applied to real problems.</p><p><br />This paper describes a prototype of a library in C++ for polynomial interpolation of fuzzifying functions, a set of routines in FORTRAN for fuzzy linear regression and a program with graphical user interface allowing the use of such routines.</p>http://www.dmi.unict.it/ojs/index.php/lematematiche/article/view/426Fuzzy arithmeticFfuzzy polynomial interpolationFuzzy linear regression
spellingShingle Maria Cristina Floreno
Giovanni Novelli
Implementing fuzzy polynomial interpolation (FPI) and fuzzy linear regression (LFR)
Le Matematiche
Fuzzy arithmetic
Ffuzzy polynomial interpolation
Fuzzy linear regression
title Implementing fuzzy polynomial interpolation (FPI) and fuzzy linear regression (LFR)
title_full Implementing fuzzy polynomial interpolation (FPI) and fuzzy linear regression (LFR)
title_fullStr Implementing fuzzy polynomial interpolation (FPI) and fuzzy linear regression (LFR)
title_full_unstemmed Implementing fuzzy polynomial interpolation (FPI) and fuzzy linear regression (LFR)
title_short Implementing fuzzy polynomial interpolation (FPI) and fuzzy linear regression (LFR)
title_sort implementing fuzzy polynomial interpolation fpi and fuzzy linear regression lfr
topic Fuzzy arithmetic
Ffuzzy polynomial interpolation
Fuzzy linear regression
url http://www.dmi.unict.it/ojs/index.php/lematematiche/article/view/426
work_keys_str_mv AT mariacristinafloreno implementingfuzzypolynomialinterpolationfpiandfuzzylinearregressionlfr
AT giovanninovelli implementingfuzzypolynomialinterpolationfpiandfuzzylinearregressionlfr