The Monotonicity And Sub-Additivity Properties Of Fuzzy Inference Systems And Their Applications

The Fuzzy Inference System (FIS) is a popular computing paradigm for undertaking modelling, control, and decision-making problems. In this thesis, the focus of investigation is on two theoretical properties of an FIS model, i.e., the monotonicity and sub-additivity properties. These properties are d...

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Main Author:	Tay , Kai Meng
Format:	Thesis
Language:	English
Published:	2011
Subjects:	TK1-9971 Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.usm.my/42799/1/TAY_KAI_MENG.pdf
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id	my-usm-ep.42799
record_format	uketd_dc
spelling	my-usm-ep.427992019-04-12T05:26:40Z The Monotonicity And Sub-Additivity Properties Of Fuzzy Inference Systems And Their Applications 2011-01 Tay , Kai Meng TK1-9971 Electrical engineering. Electronics. Nuclear engineering The Fuzzy Inference System (FIS) is a popular computing paradigm for undertaking modelling, control, and decision-making problems. In this thesis, the focus of investigation is on two theoretical properties of an FIS model, i.e., the monotonicity and sub-additivity properties. These properties are defined, and their applicability to tackling real-world problems is discussed. This research contributes to formulating a systematic procedure that is based on a mathematical foundation (i.e., the sufficient conditions) to develop monotonicity-preserving FIS models. A method to improve the sub-additivity property is also proposed. 2011-01 Thesis http://eprints.usm.my/42799/ http://eprints.usm.my/42799/1/TAY_KAI_MENG.pdf application/pdf en public phd doctoral Universiti Sains Malaysia Pusat Pengajian Kejuteraan Elektrik & Elektronik
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	TK1-9971 Electrical engineering Electronics Nuclear engineering
spellingShingle	TK1-9971 Electrical engineering Electronics Nuclear engineering Tay , Kai Meng The Monotonicity And Sub-Additivity Properties Of Fuzzy Inference Systems And Their Applications
description	The Fuzzy Inference System (FIS) is a popular computing paradigm for undertaking modelling, control, and decision-making problems. In this thesis, the focus of investigation is on two theoretical properties of an FIS model, i.e., the monotonicity and sub-additivity properties. These properties are defined, and their applicability to tackling real-world problems is discussed. This research contributes to formulating a systematic procedure that is based on a mathematical foundation (i.e., the sufficient conditions) to develop monotonicity-preserving FIS models. A method to improve the sub-additivity property is also proposed.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Tay , Kai Meng
author_facet	Tay , Kai Meng
author_sort	Tay , Kai Meng
title	The Monotonicity And Sub-Additivity Properties Of Fuzzy Inference Systems And Their Applications
title_short	The Monotonicity And Sub-Additivity Properties Of Fuzzy Inference Systems And Their Applications
title_full	The Monotonicity And Sub-Additivity Properties Of Fuzzy Inference Systems And Their Applications
title_fullStr	The Monotonicity And Sub-Additivity Properties Of Fuzzy Inference Systems And Their Applications
title_full_unstemmed	The Monotonicity And Sub-Additivity Properties Of Fuzzy Inference Systems And Their Applications
title_sort	monotonicity and sub-additivity properties of fuzzy inference systems and their applications
granting_institution	Universiti Sains Malaysia
granting_department	Pusat Pengajian Kejuteraan Elektrik & Elektronik
publishDate	2011
url	http://eprints.usm.my/42799/1/TAY_KAI_MENG.pdf
_version_	1747821102642495488

The Monotonicity And Sub-Additivity Properties Of Fuzzy Inference Systems And Their Applications

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