Aesthetical decision making of music composer using ANFIS

One aesthetical face that human is strongly surrounded by it, is music, which we are going to clarify it here. For this purpose, fuzzy logic gives us the possibility of organizing our view on this matter, due to its uncertainty and flexibility. Fuzzy rules and fuzzy reasoning are the backbone of fuz...

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Main Authors: Mashinchi, M. Reza, Mashinchi, M. Hadi, Selamat, Ali
Format: Conference or Workshop Item
Language:English
Published: 2007
Subjects:
Online Access:http://eprints.utm.my/3122/
http://eprints.utm.my/3122/1/2007040712444183.pdf
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author Mashinchi, M. Reza
Mashinchi, M. Hadi
Selamat, Ali
author_facet Mashinchi, M. Reza
Mashinchi, M. Hadi
Selamat, Ali
author_sort Mashinchi, M. Reza
building UTeM Institutional Repository
collection Online Access
description One aesthetical face that human is strongly surrounded by it, is music, which we are going to clarify it here. For this purpose, fuzzy logic gives us the possibility of organizing our view on this matter, due to its uncertainty and flexibility. Fuzzy rules and fuzzy reasoning are the backbone of fuzzy inference systems, which are the most important modeling tools in fuzzy set theory. They are often employed to capture the imprecise modes of reasoning that play an essential role in human ability to make decisions in environment having uncertainty and imprecision. In this paper, we use fuzzy inference system as an appropriate reasoning tool. A class of adaptive networks that are functionally equivalent to fuzzy inference systems is referred as ANFIS. We will try to use ANFIS for implementation modeling of decision making for music composing, to obtain final composed notes.
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format Conference or Workshop Item
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institution Universiti Teknologi Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T20:43:13Z
publishDate 2007
recordtype eprints
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spelling utm-31222017-08-07T01:27:49Z http://eprints.utm.my/3122/ Aesthetical decision making of music composer using ANFIS Mashinchi, M. Reza Mashinchi, M. Hadi Selamat, Ali QA76 Computer software One aesthetical face that human is strongly surrounded by it, is music, which we are going to clarify it here. For this purpose, fuzzy logic gives us the possibility of organizing our view on this matter, due to its uncertainty and flexibility. Fuzzy rules and fuzzy reasoning are the backbone of fuzzy inference systems, which are the most important modeling tools in fuzzy set theory. They are often employed to capture the imprecise modes of reasoning that play an essential role in human ability to make decisions in environment having uncertainty and imprecision. In this paper, we use fuzzy inference system as an appropriate reasoning tool. A class of adaptive networks that are functionally equivalent to fuzzy inference systems is referred as ANFIS. We will try to use ANFIS for implementation modeling of decision making for music composing, to obtain final composed notes. 2007 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/3122/1/2007040712444183.pdf Mashinchi, M. Reza and Mashinchi, M. Hadi and Selamat, Ali (2007) Aesthetical decision making of music composer using ANFIS. In: CIM07 - Conference On Control, Instrumentation and Mechatronics Engineering, 2007, Universiti Teknologi Malaysia, 28-29 May 2007, Persada Johor, Johor Bahru, Johor, Malaysia. (In Press) http://fke.utm.my/cim07/Web/
spellingShingle QA76 Computer software
Mashinchi, M. Reza
Mashinchi, M. Hadi
Selamat, Ali
Aesthetical decision making of music composer using ANFIS
title Aesthetical decision making of music composer using ANFIS
title_full Aesthetical decision making of music composer using ANFIS
title_fullStr Aesthetical decision making of music composer using ANFIS
title_full_unstemmed Aesthetical decision making of music composer using ANFIS
title_short Aesthetical decision making of music composer using ANFIS
title_sort aesthetical decision making of music composer using anfis
topic QA76 Computer software
url http://eprints.utm.my/3122/
http://eprints.utm.my/3122/
http://eprints.utm.my/3122/1/2007040712444183.pdf