Enhanced a novel approach for smoothing data in modelling and decision-making problems under fuzziness
Smoothing (filtering) of data is a major problem in engineering and science. In this paper, the smoothing of data arising in modelling and decision-making problems is considered. Firstly, the conventional smoothing and filtering problem and its extension to a fuzzy situation are introduced.
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Language: | English |
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REA Press
2023-09-01
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Series: | Computational Algorithms and Numerical Dimensions |
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Online Access: | https://www.journal-cand.com/article_192505_15c7886c66a4f3f64e247e95da3cf256.pdf |
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author | Hamiden Khalifa Seyyed Edalatpanah Darko Bozanic |
author_facet | Hamiden Khalifa Seyyed Edalatpanah Darko Bozanic |
author_sort | Hamiden Khalifa |
collection | DOAJ |
description | Smoothing (filtering) of data is a major problem in engineering and science. In this paper, the smoothing of data arising in modelling and decision-making problems is considered. Firstly, the conventional smoothing and filtering problem and its extension to a fuzzy situation are introduced. |
format | Article |
id | doaj-art-ff28ac50396448bba82ef31fe95b7a6d |
institution | Kabale University |
issn | 2980-7646 2980-9320 |
language | English |
publishDate | 2023-09-01 |
publisher | REA Press |
record_format | Article |
series | Computational Algorithms and Numerical Dimensions |
spelling | doaj-art-ff28ac50396448bba82ef31fe95b7a6d2025-01-30T11:22:16ZengREA PressComputational Algorithms and Numerical Dimensions2980-76462980-93202023-09-012316317210.22105/cand.2023.192505192505Enhanced a novel approach for smoothing data in modelling and decision-making problems under fuzzinessHamiden Khalifa0Seyyed Edalatpanah1Darko Bozanic2Operations Research Department, Faculty of Graduate Studies for Statistical Research, Cairo University, Giza, Egypt.Department of Applied Mathematics, Ayandegan Institute of Higher Education, Tonekabon, Iran.University of Defense in Belgrade, Serbia.Smoothing (filtering) of data is a major problem in engineering and science. In this paper, the smoothing of data arising in modelling and decision-making problems is considered. Firstly, the conventional smoothing and filtering problem and its extension to a fuzzy situation are introduced.https://www.journal-cand.com/article_192505_15c7886c66a4f3f64e247e95da3cf256.pdfsmoothing problempiecewise quadratic fuzzy numbersclose interval approximationprobability functionpascal lawgeometrical modified lawforecasting |
spellingShingle | Hamiden Khalifa Seyyed Edalatpanah Darko Bozanic Enhanced a novel approach for smoothing data in modelling and decision-making problems under fuzziness Computational Algorithms and Numerical Dimensions smoothing problem piecewise quadratic fuzzy numbers close interval approximation probability function pascal law geometrical modified law forecasting |
title | Enhanced a novel approach for smoothing data in modelling and decision-making problems under fuzziness |
title_full | Enhanced a novel approach for smoothing data in modelling and decision-making problems under fuzziness |
title_fullStr | Enhanced a novel approach for smoothing data in modelling and decision-making problems under fuzziness |
title_full_unstemmed | Enhanced a novel approach for smoothing data in modelling and decision-making problems under fuzziness |
title_short | Enhanced a novel approach for smoothing data in modelling and decision-making problems under fuzziness |
title_sort | enhanced a novel approach for smoothing data in modelling and decision making problems under fuzziness |
topic | smoothing problem piecewise quadratic fuzzy numbers close interval approximation probability function pascal law geometrical modified law forecasting |
url | https://www.journal-cand.com/article_192505_15c7886c66a4f3f64e247e95da3cf256.pdf |
work_keys_str_mv | AT hamidenkhalifa enhancedanovelapproachforsmoothingdatainmodellinganddecisionmakingproblemsunderfuzziness AT seyyededalatpanah enhancedanovelapproachforsmoothingdatainmodellinganddecisionmakingproblemsunderfuzziness AT darkobozanic enhancedanovelapproachforsmoothingdatainmodellinganddecisionmakingproblemsunderfuzziness |