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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
http://eprints.usm.my/42799/
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spelling my.usm.eprints.42799 http://eprints.usm.my/42799/ The Monotonicity And Sub-Additivity Properties Of Fuzzy Inference Systems And Their Applications 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 NonPeerReviewed application/pdf en http://eprints.usm.my/42799/1/TAY_KAI_MENG.pdf Tay , Kai Meng (2011) The Monotonicity And Sub-Additivity Properties Of Fuzzy Inference Systems And Their Applications. PhD thesis, Universiti Sains Malaysia.
institution Universiti Sains Malaysia
building Hamzah Sendut Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
url_provider http://eprints.usm.my/
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
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
publishDate 2011
url http://eprints.usm.my/42799/1/TAY_KAI_MENG.pdf
http://eprints.usm.my/42799/
_version_ 1643710580405567488
score 13.160551

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