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

Tay , Kai Meng (2011) The Monotonicity And Sub-Additivity Properties Of Fuzzy Inference Systems And Their Applications. PhD thesis, Universiti Sains Malaysia.

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Abstract

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.

Item Type:	Thesis (PhD)
Subjects:	T Technology > TK Electrical Engineering. Electronics. Nuclear Engineering > TK1-9971 Electrical engineering. Electronics. Nuclear engineering
Divisions:	Kampus Kejuruteraan (Engineering Campus) > Pusat Pengajian Kejuruteraaan Elektrik & Elektronik (School of Electrical & Electronic Engineering) > Thesis
Depositing User:	ASM Ab Shukor Mustapa
Date Deposited:	31 Oct 2018 01:29
Last Modified:	12 Apr 2019 05:26
URI:	http://eprints.usm.my/id/eprint/42799

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