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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| Format: | Thesis |
| Language: | English |
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2011
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| Online Access: | http://eprints.usm.my/42799/ |
| Abstract | Abstract here |
| _version_ | 1854967867636711424 |
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| author | Tay , Kai Meng |
| author_facet | Tay , Kai Meng |
| author_sort | Tay , Kai Meng |
| 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. |
| first_indexed | 2025-10-17T08:19:50Z |
| format | Thesis |
| id | usm-42799 |
| institution | Universiti Sains Malaysia |
| language | English |
| last_indexed | 2025-10-17T08:19:50Z |
| publishDate | 2011 |
| record_format | eprints |
| record_pdf | Abstract |
| spelling | usm-427992019-04-12T05:26:40Z 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. |
| spellingShingle | TK1-9971 Electrical engineering. Electronics. Nuclear engineering Tay , Kai Meng The Monotonicity And Sub-Additivity Properties Of Fuzzy Inference Systems And Their Applications |
| title | 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
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| title_short | The Monotonicity And Sub-Additivity Properties Of Fuzzy Inference Systems And Their Applications
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| title_sort | monotonicity and sub additivity properties of fuzzy inference systems and their applications |
| topic | TK1-9971 Electrical engineering. Electronics. Nuclear engineering |
| url | http://eprints.usm.my/42799/ |
| work_keys_str_mv | AT taykaimeng themonotonicityandsubadditivitypropertiesoffuzzyinferencesystemsandtheirapplications AT taykaimeng monotonicityandsubadditivitypropertiesoffuzzyinferencesystemsandtheirapplications |