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On the Use of Fuzzy Inference Techniques in Assessment Models: Part I: Theoretical Properties

An assessment model is a mathematical model that produces a measuring index, either in the form of a numerical score or a category to a situation/object, with respect to the subject of measure. From the numerical score, decision can be made and action can be taken. To allow valid and useful comparis...

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Main Authors: Tay, Kai Meng, Lim, Chee Peng
Format: Article
Language:English
Published: Springer Science 2008
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://ir.unimas.my/id/eprint/3043/1/On%20the%20use.pdf
http://ir.unimas.my/id/eprint/3043/
http://www.springerlink.com/content/k46j01kn77578716/
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spelling my.unimas.ir.30432022-03-25T02:04:21Z http://ir.unimas.my/id/eprint/3043/ On the Use of Fuzzy Inference Techniques in Assessment Models: Part I: Theoretical Properties Tay, Kai Meng Lim, Chee Peng TK Electrical engineering. Electronics Nuclear engineering An assessment model is a mathematical model that produces a measuring index, either in the form of a numerical score or a category to a situation/object, with respect to the subject of measure. From the numerical score, decision can be made and action can be taken. To allow valid and useful comparisons among various situations/ objects according to their associated numerical scores to be made, the monotone output property and the output resolution property are essential in fuzzy inferencebased assessment problems. We investigate the conditions for a fuzzy assessment model to fulfill themonotone output property using a derivative approach. A guideline on how the input membership functions should be tuned is also provided. Besides, the output resolution property is defined as the derivative of the output of the assessment model with respect to its input. This derivative should be greater than the minimum resolution required. From the derivative, we suggest improvements to the output resolution property by refining the fuzzy production rules. Springer Science 2008 Article NonPeerReviewed text en http://ir.unimas.my/id/eprint/3043/1/On%20the%20use.pdf Tay, Kai Meng and Lim, Chee Peng (2008) On the Use of Fuzzy Inference Techniques in Assessment Models: Part I: Theoretical Properties. Fuzzy Optim Decis Making, 7 (3). pp. 269-281. http://www.springerlink.com/content/k46j01kn77578716/ DOI 10.1007/s10700-008-9037-y
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Tay, Kai Meng
Lim, Chee Peng
On the Use of Fuzzy Inference Techniques in Assessment Models: Part I: Theoretical Properties
description An assessment model is a mathematical model that produces a measuring index, either in the form of a numerical score or a category to a situation/object, with respect to the subject of measure. From the numerical score, decision can be made and action can be taken. To allow valid and useful comparisons among various situations/ objects according to their associated numerical scores to be made, the monotone output property and the output resolution property are essential in fuzzy inferencebased assessment problems. We investigate the conditions for a fuzzy assessment model to fulfill themonotone output property using a derivative approach. A guideline on how the input membership functions should be tuned is also provided. Besides, the output resolution property is defined as the derivative of the output of the assessment model with respect to its input. This derivative should be greater than the minimum resolution required. From the derivative, we suggest improvements to the output resolution property by refining the fuzzy production rules.
format Article
author Tay, Kai Meng
Lim, Chee Peng
author_facet Tay, Kai Meng
Lim, Chee Peng
author_sort Tay, Kai Meng
title On the Use of Fuzzy Inference Techniques in Assessment Models: Part I: Theoretical Properties
title_short On the Use of Fuzzy Inference Techniques in Assessment Models: Part I: Theoretical Properties
title_full On the Use of Fuzzy Inference Techniques in Assessment Models: Part I: Theoretical Properties
title_fullStr On the Use of Fuzzy Inference Techniques in Assessment Models: Part I: Theoretical Properties
title_full_unstemmed On the Use of Fuzzy Inference Techniques in Assessment Models: Part I: Theoretical Properties
title_sort on the use of fuzzy inference techniques in assessment models: part i: theoretical properties
publisher Springer Science
publishDate 2008
url http://ir.unimas.my/id/eprint/3043/1/On%20the%20use.pdf
http://ir.unimas.my/id/eprint/3043/
http://www.springerlink.com/content/k46j01kn77578716/
_version_ 1729708049924358144
score 13.211869

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