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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Format: | Article |
Language: | English |
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Università degli Studi di Catania
1996-05-01
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Series: | Le Matematiche |
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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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format | Article |
id | doaj.art-29f7934b7aca489a8f53c56c3ebe2ccd |
institution | Directory Open Access Journal |
issn | 0373-3505 2037-5298 |
language | English |
last_indexed | 2024-12-21T21:43:39Z |
publishDate | 1996-05-01 |
publisher | Università degli Studi di Catania |
record_format | Article |
series | Le Matematiche |
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 |